Job: @beauty_by_ina_heinrich

Text: Sehr informativ

Analysis: { "fakeness_score": 25, "fakeness_confidence": 60, "overall_score": 45, "overall_confidence": 65, "comment_types": [ { "type": "short positive feedback (generic praise)", "count": 1, "purpose": "Show appreciation/approval of the content; increases visible engagement but provides little informational value or indication of purchase intent" } ], "interpretation": "Single comment 'Sehr informativ' (German for 'Very informative') is a short, generic positive reaction. It likely represents a real user acknowledging useful content but contains no detailed engagement (no question, no tagging, no emoji, no call to action). Because it's minimal, it neither strongly supports nor rules out authenticity; short generic comments are common from both genuine followers and low-effort bot accounts. With only one comment available, confidence in assessing overall comment quality is limited. For advertising-feasibility decisions, this single comment provides weak positive signal. Recommend reviewing commenter profile (age, activity, follower/following ratio), volume and variety of comments across recent posts, comment timestamps and likes, and presence of conversational replies to better judge engagement authenticity before purchase." }

Text: ❤️

Analysis: { "fakeness_score": 40, "fakeness_confidence": 30, "overall_score": 35, "overall_confidence": 30, "comment_types": [ { "type": "emoji_reaction", "count": 1, "purpose": "Expresses positive sentiment/affection; lightweight engagement that increases visible interaction but conveys no substantive interest or purchase intent." } ], "interpretation": "Only a single comment is available: a heart emoji (\"❤️\"). This is a generic positive reaction common from both real followers and automated/bot accounts. With no additional context (commenter username, profile details, timestamp, number of other comments or likes) it is not possible to reliably determine authenticity. The comment provides minimal evidence of meaningful audience interest or propensity to convert for advertising purposes. Recommendation: obtain a larger sample of comments, commenter profile data, overall like-to-follower ratios, diversity of comments (questions, tags, discussion), and repeat engagement patterns before making ad-purchase decisions. Current assessment is low-to-moderate concern for fakeness (estimated 40%) and low confidence in that estimate due to extremely limited data; overall ad-feasibility score is low (35) with low confidence." }

Text: Ich liebe deine Tipps😍😍😍

Analysis: { "fakeness_score": 45, "fakeness_confidence": 55, "overall_score": 35, "overall_confidence": 50, "comment_types": [ { "type": "positive_generic_compliment", "count": 1, "purpose": "Expresses appreciation/validation of content (engagement). Likely intended to signal support or admiration; may boost perceived social proof." } ], "interpretation": "The single comment ('Ich liebe deine Tipps😍😍😍') is a short, generic praise with emojis. Strengths: it is positive engagement and uses language that could match a German-speaking audience, which would support authenticity if the influencer normally posts in German. Weaknesses / reasons for cautious fakeness rating: the comment lacks specific detail about the post, is high-effort-low-information (common in both genuine quick compliments and automated/paid bot comments), and there is only one sample to evaluate. Given the limited data, this comment is ambiguous — moderately likely to be organic but also consistent with low-effort fake engagement. For an advertising decision, do not rely on this alone. Recommended next checks: inspect the commenter’s profile (age, follower count, posting history), look for repeated identical comments across posts, examine overall comment diversity and timing patterns, and compute engagement rates (likes, saves, comments per follower). These additional signals will significantly improve confidence in whether the influencer’s engagement is real and whether the account is suitable for ad spend." }

Text: Was ist das von einer Lippenstift? Der ist ja wunderschön und ich mag solche Farbe. Vielen Dank Voraus.

Analysis: { "fakeness_score": 20, "fakeness_confidence": 60, "overall_score": 50, "overall_confidence": 40, "comment_types": [ { "type": "product inquiry / compliment", "count": 1, "purpose": "Ask which lipstick/product is used and express positive sentiment about the color to engage the influencer and possibly obtain a product recommendation." } ], "interpretation": "This single comment appears to be a direct product-related question combined with a compliment — typical of a genuine follower interested in buying or learning the product. The message is relevant and specific, which reduces the probability of it being a random bot; however, minor grammatical mistakes in German ('Was ist das von einer Lippenstift?', 'Vielen Dank Voraus') could indicate a non‑native speaker, hurried typing, or a low-effort bot. Given only one comment, the sample is too small to draw strong conclusions about overall audience authenticity. For advertising feasibility: this comment is a positive signal (real interest), but you need broader metrics — number of similar inquiries, commenter account quality (age, follower count, posting history), like-to-follower ratio, and comment diversity — before deciding. Recommended next steps: inspect the commenter profile for authenticity signals, check multiple posts for repeated similar comments, and compute engagement quality across the influencer's recent posts." }

Text: Schöne Farbe 😍

Analysis: { "fakeness_score": 25, "fakeness_confidence": 45, "overall_score": 45, "overall_confidence": 35, "comment_types": [ { "type": "compliment / positive reaction", "count": 1, "purpose": "Express appreciation for the post (short praise), increase visible engagement" } ], "interpretation": "The single comment \"Schöne Farbe 😍\" is a short, positive compliment with an emoji. This is a low-information signal: it indicates some audience appreciation and engagement but does not show meaningful conversation, product interest, or conversion intent. The brevity and generic nature make it plausible either as a genuine spontaneous reaction from a follower or as a low-effort automated/generic comment; the presence of an emoji slightly favours human origin but is not decisive. Given only one comment, overall assessment is highly uncertain. For advertising feasibility you need more data (number of comments, variety of comment types, ratio of substantive comments to generic praise, likes per post, follower quality, timing patterns, audience demographics, and presence of repeated identical comments). If most comments resemble this one, that could point to shallow engagement (lower ad value) or to manufactured engagement if many are near-identical. Recommended next steps: collect a larger sample of comments, check commenter profiles for activity/follower counts, and examine engagement rates and comment diversity before deciding on ad purchase." }

Text: Inna vielen Dank für deine tolle Tips ❤️

Analysis: { "fakeness_score": 20, "fakeness_confidence": 60, "overall_score": 50, "overall_confidence": 40, "comment_types": [ { "type": "Praise/Gratitude (likely genuine follower)", "count": 1, "purpose": "Express thanks and positive feedback; show support/engagement for the influencer" } ], "interpretation": "The sole comment \"Inna vielen Dank für deine tolle Tips ❤️\" is a short, personalised thank-you with a heart emoji. The direct address of the influencer's name and a small grammatical slip ('deine tolle Tips') are more consistent with a real human follower than with a templated bot comment. Fakeness likelihood is low but the confidence is limited because this is only one comment. For advertising-purchase decisions this single positive comment is a weak signal: it indicates at least some real engagement, but you need a larger sample (total comments, comment diversity, repetition patterns across posts), engagement rate (likes/comments relative to followers), timing, and audience demographics before concluding influencer authenticity and suitability. Recommend collecting more comment samples and engagement metrics before committing to advertising spend." }

Text: Deine manicure ist so schön. Erzähl uns mal bitte auch etwas über deine Handpflege. Du hast wunderschöne Hände.

Analysis: { "fakeness_score": 15, "fakeness_confidence": 65, "overall_score": 70, "overall_confidence": 40, "comment_types": [ { "type": "Compliment + Content Request", "count": 1, "purpose": "Praise the creator's manicure/hands and request practical information (hand care). Signals interest and intent to engage further." } ], "interpretation": "This single comment reads as a genuine, engaged user message rather than an obvious bot/spam entry. It contains specific detail (manicure, hand care), polite phrasing and a direct request for more content — hallmarks of real audience interest. That said, with only one comment available we cannot generalize about the entire comment set: some bots or paid commenters can use short, flattering phrases that look authentic. For advertising feasibility, this comment is positive signal for beauty/hand-care sponsorships (audience likely interested in product details and routines). Recommended next steps before purchase: analyze a larger sample of comments for repetition patterns, timestamps, commenter profiles (follower counts, profile photos, posting history), likes on comments, and whether the influencer replies — these will raise confidence in authenticity and real audience engagement. Based on the single comment, I give a low fakeness score (15/100) and a moderately confident overall suitability score (70/100) for beauty/hand-care ads, but overall confidence is limited (40/100) due to scant data." }

Text: Was für einen Lidschatten nimmst du? Tolle Farbe😍

Analysis: { "fakeness_score": 10, "fakeness_confidence": 65, "overall_score": 40, "overall_confidence": 60, "comment_types": [ { "type": "Product inquiry + Compliment", "count": 1, "purpose": "Asks which eyeshadow was used and compliments the color; expresses interest in the product and positive sentiment toward the creator." } ], "interpretation": "The single comment is a direct product question combined with a compliment (\"Was für einen Lidschatten nimmst du? Tolle Farbe😍\"). This is typical of genuine audience engagement showing interest in the product and possible purchase intent. Fakeness is assessed as low because the language is specific, context-relevant and includes an emoji, but with only one comment provided the sample is very small. Overall, the comment is a positive signal for advertising relevance (audience interest in cosmetic details), but the evidence is insufficient to judge overall engagement quality or audience authenticity for ad buying. Recommend reviewing a larger sample of comments, comment-to-follower ratio, recurring commenters, timing patterns, and like counts to make a confident ad-purchase decision." }

Text: Sind dann hier deine Lippen übergeschminkt ?

Analysis: { "fakeness_score": 10, "fakeness_confidence": 75, "overall_score": 35, "overall_confidence": 60, "comment_types": [ { "type": "Question / Critical engagement", "count": 1, "purpose": "Ask for clarification about the content (possible critique of makeup), genuine user engagement seeking information or expressing mild skepticism" } ], "interpretation": "The single comment (German: \"Sind dann hier deine Lippen übergeschminkt?\") is a straightforward, conversational question about the post's makeup — neutral-to-slightly critical and likely from a real viewer. As a solitary comment it indicates low volume of visible engagement; its content suggests authentic human interaction rather than a generic promotional or bot-like message. However, one comment is insufficient to assess overall audience quality or fraud risk reliably. For advertising feasibility, this is a weak signal: engagement exists but is sparse and not clearly positive, so obtain more comment samples, overall engagement rate, follower authenticity metrics, and temporal patterns before making a buy decision." }

Text: ❤️

Analysis: { "fakeness_score": 50, "fakeness_confidence": 25, "overall_score": 40, "overall_confidence": 30, "comment_types": [ { "type": "emoji_reaction", "count": 1, "purpose": "Simple positive reaction / appreciation; low-effort engagement intended to signal approval or boost visible engagement." } ], "interpretation": "Only a single comment consisting of a heart emoji is available. This is a generic, low-information signal: it indicates some engagement but gives no insight about commenter identity, intent, reach, or campaign relevance. Single emoji comments are common from genuine followers as well as from low-quality bot accounts or engagement farms, so authenticity cannot be determined from this data point alone. For advertising feasibility this comment neither supports nor rules out a strong, authentic audience — it modestly increases visible engagement but carries little endorsement value. Recommended next steps before purchase: analyze the full comment set (volume, diversity, repeated phrases/emojis, timestamps), inspect commenter profiles (follower counts, activity, bio language), calculate engagement rate relative to follower count, check for patterns of inorganic behavior (many one-word/emoji comments from new accounts), and review past sponsored posts and conversion metrics. Based on only this single emoji comment, treat evidence as inconclusive and assign only a low-to-moderate confidence in the post's comment authenticity and ad-suitability." }

Text: Ich hab nicht Mal genug Lippe um sie voller zu schminken 😂 aber bei dir schaut alles super aus 😍

Analysis: { "fakeness_score": 15, "fakeness_confidence": 75, "overall_score": 60, "overall_confidence": 50, "comment_types": [ { "type": "Compliment with self-deprecating relatability", "count": 1, "purpose": "Praise the influencer's appearance while expressing personal insecurity/relatability; provides positive social proof and encourages engagement (warm, supportive interaction)." } ], "interpretation": "The comment reads as a genuine follower remark: it pairs a compliment about the influencer's look with a self-deprecating, relatable line ('I don't even have enough lip...') and emojis (😂, 😍). That combination (specific body feature mention + personal comparison + emojis) is typical of organic engagement rather than a generic spam or bot message. Fakeness is therefore low. \n\nLimitations: this assessment is based on a single comment. To judge advertising feasibility reliably, you need a larger sample of comments (volume, diversity, repeated patterns), commenter account checks (real follower profiles vs. newly created or bot-like accounts), timestamps, like counts on comments, and presence of conversion-related signals (questions about price, purchase reports, affiliate mentions). \n\nPractical takeaway: this single comment is a positive signal (authentic praise/social proof) but insufficient alone to conclude the community is high-quality for conversions. Recommend broader comment sampling and account-level checks before purchase decisions." }

Text: Ich finde das sieht so komisch aus, aus der Nähe, wenn man etwas weiter außen "malt". Oder mache ich etwas falsch?

Analysis: { "fakeness_score": 10, "fakeness_confidence": 70, "overall_score": 40, "overall_confidence": 50, "comment_types": [ { "type": "constructive question/feedback", "count": 1, "purpose": "Seeks help/clarification about technique; offers mild critique about how the content looks up close." } ], "interpretation": "The single comment is a genuine-seeming, constructive question about the creator's technique/visual outcome (written in German). It reads like an engaged follower asking for advice or confirming whether they're doing something wrong, which signals real engagement and interest in the creator's subject matter. The low fakeness score reflects the natural phrasing and specific observational content. However, this is only one comment — the sample is too small to draw firm conclusions about overall audience quality or scale. For ad-buy decisions you should examine a larger set of comments, comment-to-follower ratio, likes, replies from the influencer, and account-level authenticity metrics before relying on this as evidence of strong organic engagement." }

Text: Volle Lippen

Analysis: { "fakeness_score": 30, "fakeness_confidence": 50, "overall_score": 30, "overall_confidence": 50, "comment_types": [ { "type": "compliment / feature praise", "count": 1, "purpose": "Short praise or observation highlighting a physical feature (likely to signal approval and generate positive engagement)." } ], "interpretation": "Only one comment is present: a short German phrase 'Volle Lippen' ('full/plump lips'). This reads as a simple compliment or observation rather than a promotional line or obvious spam. With a single short comment there is very limited evidence to judge authenticity or the account's engagement quality. The fakeness score is low-to-moderate because the comment is not a generic bot pattern, but the sample size is too small to exclude purchased engagement or coordinated comments across other posts. For advertising feasibility: comments provide almost no socialproof here — low volume and lack of varied, substantive interaction suggest weak audience engagement. Recommendation: review a larger sample of posts (comment volume, timing, repeated phrases, language mix), check like-to-comment ratios, audience demographics, and look for repeating commenters or obvious bot accounts before making an ad purchase decision." }

Text: Danke für den Tip. Niemals sind schmale Lippen schön . Werde deinen perfekten Tipps immer folgen.

Analysis: { "fakeness_score": 30, "fakeness_confidence": 60, "overall_score": 70, "overall_confidence": 60, "comment_types": [ { "type": "Positive praise / endorsement", "count": 1, "purpose": "Express praise for the creator and endorse their tips to encourage and validate the post." }, { "type": "Agreement / opinion", "count": 1, "purpose": "States an opinion about the topic (narrow lips are not beautiful), aligning with the post content." }, { "type": "Follower commitment / loyalty", "count": 1, "purpose": "Signals intent to continue following the influencer's advice (engagement/retention)." } ], "interpretation": "The comment is short, positive, and directly related to the post topic (mentions 'schmale Lippen' and following tips), which supports authenticity. Minor grammatical/word-order oddities (e.g., 'Tip' vs 'Tipp', phrasing of the last sentence) could reflect a non-native speaker or casual typing rather than automated generation. It reads like a genuine supportive follower: offers a topical opinion, thanks the poster, and commits to following future advice. Fakeness risk is moderate-low: single generic compliments can be produced by bots, but topical specificity and commitment reduce that likelihood. For advertising decisions, a single such comment is a weak data point: it indicates at least some engaged audience affinity, but you should evaluate a larger sample (many comments, commenter profiles, timing, like counts, reply behavior) before deciding. Recommend checking commenter account age, diversity of comments, and whether similar phrasing appears repeatedly across posts to detect coordination or bot patterns." }

Text: Ein Business MakeUp für Fotoshooting würde mich interessieren. 😍

Analysis: { "fakeness_score": 10, "fakeness_confidence": 75, "overall_score": 60, "overall_confidence": 60, "comment_types": [ { "type": "genuine user inquiry / interest", "count": 1, "purpose": "Expresses interest/request for specific content or service (request for a business-style makeup for a photoshoot) and signals positive engagement/intent" } ], "interpretation": "The single comment is written in natural language with an emoji and a specific, relevant request, which strongly suggests it is genuine (low fakeness). It indicates direct interest in beauty/makeup content tailored to photoshoots — a positive signal for advertisers in cosmetics, photography, or related services. However, this is only one data point: there is insufficient comment volume to judge overall engagement quality or prevalence of fake comments for the account. For an advertising buy decision, this comment is encouraging but insufficient alone; review more posts for consistent, varied, and substantive comments, check commenter account legitimacy (age, followers, activity), engagement rates, and conversion metrics before committing." }

Text: Einfach nur WOW, sieht toll aus😍

Analysis: { "fakeness_score": 25, "fakeness_confidence": 45, "overall_score": 30, "overall_confidence": 40, "comment_types": [ { "type": "Generic compliment / positive reaction", "count": 1, "purpose": "Выражение восхищения и одобрения внешнего вида поста (похвала, эмоциональная поддержка). Наличие эмодзи усиливает позитивный тон, но комментарий не содержит специфики о продукте или намерении покупки." } ], "interpretation": "Предоставленный комментарий — короткая, положительная реплика («Einfach nur WOW, sieht toll aus😍»). Это типичный общий комплимент, часто встречающийся как у реальных подписчиков, так и у накрученных аккаунтов или участниках engagement‑подов. Отсутствие деталей (что именно понравилось, почему, какие действия планирует автор) снижает информационную ценность для оценки покупательной мотивации аудитории. На основе единственного комментария невозможно надёжно судить о подлинности вовлечённости или качестве аудитории инфлюенсера. Для рекламного решения текущий сигнал слаб: положительная тональность есть, но никакой доказательной силы по целевому интересу или активности аудитории — рекомендую получить дополнительные данные (больше комментариев, профили комментаторов, распределение реакций по времени, соотношение лайков/подписчиков, примеры обсуждений с упоминанием продукта/цены)." }

Text: Wow 🤩 wo sind die Produkte erhältlich? Bitte 🙏

Analysis: { "fakeness_score": 10, "fakeness_confidence": 60, "overall_score": 65, "overall_confidence": 50, "comment_types": [ { "type": "Audience inquiry / genuine engagement", "count": 1, "purpose": "Asking where products are available — expresses product interest and potential purchase intent." } ], "interpretation": "The single comment appears natural and context-appropriate: it uses casual language and emojis and directly asks where the products can be purchased, indicating real consumer interest. With only one comment provided, there is insufficient volume to detect coordinated or automated activity; therefore fakeness is assessed as low (10/100) but with moderate confidence. For advertising feasibility, this kind of comment is positive because it signals purchase intent, but the overall assessment is limited by the very small sample size — recommend reviewing a larger set of comments, engagement rates, and follower quality before final ad spend decisions." }

Text: 👏👏👏👏😍❤️ sehr schön

Analysis: { "fakeness_score": 30, "fakeness_confidence": 40, "overall_score": 25, "overall_confidence": 30, "comment_types": [ { "type": "Positive emoji praise", "count": 1, "purpose": "Express admiration/appreciation and provide lightweight engagement (boost post metrics)" } ], "interpretation": "Only a single comment is provided: “👏👏👏👏😍❤️ sehr schön” (German: “very beautiful”) — a short, generic positive reaction composed of emojis and a simple compliment. This type of comment typically serves to signal engagement and appreciation but contains no substantive information about audience fit, purchase intent, or detailed sentiment. Such short praise can be genuine from a follower or can be generic/bot-like; with a single example it's not possible to reliably distinguish. The fakeness score is set moderately low (30) because the comment is plausible for an engaged follower, but the lack of diversity, context (comment timing, commenter profile, volume of comments), and any conversational follow-up increases uncertainty. The overall advertising-feasibility score is low (25) with low-to-moderate confidence because one positive emoji comment does not indicate strong, authentic audience engagement or conversion potential. Recommended next steps before considering ad spend: analyze a larger sample of comments, inspect commenter profiles for real follower signals (profile activity, follower counts, mutual connections), check comment timing patterns, like counts and saves on the post, and compare to typical engagement rates for the influencer's follower size." }

Text: Hallo, könntest du bitte sagen welche Lidschatten Palette du für dieses Make-up benutzt hast sind alles schöne warme Korallentöne. Ich würde gerne die Palette wissen. 🙏🏻 vielen Dank.

Analysis: { "fakeness_score": 10, "fakeness_confidence": 80, "overall_score": 60, "overall_confidence": 40, "comment_types": [ { "type": "Product inquiry / genuine follower question", "count": 1, "purpose": "Polite request asking which eyeshadow palette was used; expresses interest in replicating the look and indicates purchase intent or intent to research the product." } ], "interpretation": "The single comment appears genuine: it's in natural German, uses polite phrasing and an emoji, asks a specific question (which palette was used) rather than leaving a generic compliment or spammy promotion. These features suggest a real follower with product interest (potential lead). Fakeness is low because there are no telltale bot signs (repeated text, irrelevant links, emoji-only, generic one-word praise). However, this analysis is based on one comment only — sample size is too small to judge overall audience authenticity or engagement quality. For advertising/purchase feasibility, this comment is a positive signal (shows product interest), but you should verify broader indicators before deciding: overall comments volume and diversity, like-to-comment ratio, comment timestamps (to detect bursts), follower quality (look for authentic profiles), and other comments' content. Recommend collecting a larger comment sample and engagement metrics before making a final advertising decision." }

Text: Dezent ist anders

Analysis: { "fakeness_score": 10, "fakeness_confidence": 60, "overall_score": 55, "overall_confidence": 40, "comment_types": [ { "type": "critical / sarcastic", "count": 1, "purpose": "Express dissatisfaction or critique the post (claims it's not subtle); may signal disagreement with style/tone or attempt to provoke engagement." } ], "interpretation": "The single comment \"Dezent ist anders\" (German: \"That's not subtle\") is a short, negative/sarcastic reaction criticizing the post's lack of subtlety. Tone is likely genuine rather than bot-like: brief, context-specific, and not promotional. With only one comment available, this is insufficient to draw strong conclusions about the overall audience sentiment or comment authenticity. For advertising-feasibility: this comment flags a possible brand-fit risk if the advertiser requires understated messaging, but by itself it does not meaningfully reduce the influencer's suitability. Recommended next steps: analyze a larger sample of comments for sentiment distribution, check engagement rates (likes, replies), and audit follower authenticity before final purchase decision." }

Text: Hallo. Welche Produkte verwendest Du.

Analysis: { "fakeness_score": 10, "fakeness_confidence": 80, "overall_score": 45, "overall_confidence": 50, "comment_types": [ { "type": "product inquiry / question", "count": 1, "purpose": "Genuine follower interest asking which products are used (informational intent; potential purchase intent)" } ], "interpretation": "The single comment is a direct, language-specific question in German asking which products are used. This looks like authentic engagement (not a generic praise or spammy promotion), so fakeness is low. However, this analysis is based on one comment only — sample size is too small to draw firm conclusions about the overall audience authenticity or engagement quality. For advertising-purchase decisions, this comment is a positive signal (shows product interest) but insufficient by itself; recommend reviewing overall comment volume and diversity, likes-to-followers ratio, timing patterns, repeated/generic comments, follower profiles, and conversion metrics before committing to ad spend." }

Text: Die Augenbrauen sind aber auch zu hoch gesetzt....

Analysis: { "fakeness_score": 10, "fakeness_confidence": 70, "overall_score": 50, "overall_confidence": 45, "comment_types": [ { "type": "Negative / critical (appearance)", "count": 1, "purpose": "Express an aesthetic critique of the subject's eyebrows — likely to voice dissatisfaction, provoke agreement or discussion, or signal genuine reaction to appearance." } ], "interpretation": "The single comment ('Die Augenbrauen sind aber auch zu hoch gesetzt....') is specific and detailed (about eyebrow placement), which makes it likely genuine rather than generic or bot-like. It is negative in sentiment and targets appearance, so it could reflect a follower or viewer who feels comfortable giving blunt feedback. As an isolated data point this is not a strong signal of widespread negativity or of fake engagement. For advertising feasibility: authentic, critical comments show the audience engages meaningfully (good), but negative aesthetic remarks could be a brand-fit risk for beauty or cosmetic advertisers. Confidence in these conclusions is limited because analysis is based on one comment only — you should evaluate a larger comment sample, commenter profiles (real accounts vs throwaway), sentiment distribution, and engagement rates before making a purchase decision." }

Text: Womit sind die Poren denn nun abgedeckt?

Analysis: { "fakeness_score": 5, "fakeness_confidence": 80, "overall_score": 60, "overall_confidence": 40, "comment_types": [ { "type": "product inquiry / information request", "count": 1, "purpose": "Asking for clarification about how the product addresses/ covers pores (seeking product details prior to purchase or evaluation)." } ], "interpretation": "Only one comment was provided: a direct, naturally phrased question in German asking what is covering the pores. It lacks promotional language, repetitive phrasing, emojis, or stock-like patterns, which suggests it is a genuine user inquiry rather than a bot or paid promotional comment. Fakeness is therefore low (score 5), with reasonable confidence. However, a single comment is not representative of overall audience quality or engagement; for advertising feasibility you should review the full comment set, commenter profiles (follower counts, activity), like-to-comment ratios, and whether the influencer responds to such questions. The single genuine question is a small positive signal for audience engagement, but insufficient alone to conclude strong ad suitability." }

Text: Was sind das für Produkte ?

Analysis: { "fakeness_score": 10, "fakeness_confidence": 75, "overall_score": 40, "overall_confidence": 50, "comment_types": [ { "type": "Genuine question / inquiry", "count": 1, "purpose": "Asking what products are being shown — intent is information-seeking and possibly purchase interest or curiosity." } ], "interpretation": "The single comment ('Was sind das für Produkte ?' — 'What kind of products are those?') reads as a straightforward, human question. It is not promotional, repetitive, or generic praise, and lacks typical bot/spam markers (emojis, links, irrelevant hashtags, copy-paste phrasing). Based on content and phrasing the comment appears authentic, hence a low fakeness score. However, this is only one comment — an extremely small sample — so conclusions about the overall comment authenticity and audience quality are weak. For advertising-feasibility: a genuine question can indicate real interest from at least some followers, but the lack of volume and diversity of comments is a concern. Recommendation: gather a larger sample of comments across multiple recent posts, check like-to-comment ratios, inspect commenter profiles (age, language, activity, follower counts), and look for recurring patterns (repeated text, timing bursts). Those additional data points will materially improve confidence in whether the influencer’s audience is authentic and suitable for paid advertising." }

Text: ❤️❤️❤️

Analysis: { "fakeness_score": 40, "fakeness_confidence": 30, "overall_score": 45, "overall_confidence": 30, "comment_types": [ { "type": "emoji-only (❤️❤️❤️)", "count": 1, "purpose": "Expresses support/affection/approval; low-effort engagement that increases visible interaction but provides no substantive feedback or interest in a product. Can come from genuine followers, casual viewers, or automated/engagement-for-hire accounts." } ], "interpretation": "Only one comment is available and it consists of three heart emojis. That is a generic, low-information positive reaction: it signals some engagement but not intent to purchase, product interest, or meaningful audience feedback. Emoji-only comments are commonly posted by genuine fans, casual followers, and low-effort bot/farm accounts alike, so a single instance is ambiguous. Given the single low-effort comment, there is weak evidence of a highly engaged, conversion-ready audience. For advertising feasibility this comment alone is insufficient: it slightly improves visible engagement metrics but does not demonstrate audience quality, targeting fit, or conversion potential. Recommended next steps before buying advertising: collect more comments (variety, depth, timing), examine commenter profiles (follower counts, activity, language, account age), compare comment-to-like ratios and average comment length across recent posts, and check for patterns of repetitive emoji/comments (indicator of inorganic engagement). Overall, treat this signal as neutral-to-skeptical until a larger, more diverse comment sample is analyzed." }

Text: Richtig schön

Analysis: { "fakeness_score": 25, "fakeness_confidence": 40, "overall_score": 45, "overall_confidence": 30, "comment_types": [ { "type": "Positive generic compliment", "count": 1, "purpose": "Expresses appreciation/approval of the post (short praise). Serves to increase visible engagement but provides no product-specific feedback or call-to-action." } ], "interpretation": "Only one comment was provided: \"Richtig schön\" (German for \"Really/very beautiful\"). This is a brief, positive, non-specific compliment. Authenticity signals: the comment is in natural German (matching a German-speaking audience), uses no spammy links or repeated marketing phrases, and reads like a genuine quick reaction — which lowers the likelihood of being produced by automated English-language spam bots. Counter-signals: it is very short and generic, which is a common characteristic of both casual follower comments and low-effort bot/farmed engagement, so it is not a strong signal of meaningful interest. Because there is only a single comment, the sample size is too small to draw reliable conclusions about the overall comments quality or audience authenticity. For advertising feasibility this comment alone is weak evidence: it shows a positive sentiment but no product relevance, no conversational depth, no questions, no tagging of others, and no actionable intent. Recommendation: request the full comments sample (preferably many posts), likes-to-comments ratio, commenter handles (to check follower authenticity and diversity), audience demographics, and historical engagement trends before making an ad purchase decision." }

Text: 🔥🔥🔥

Analysis: { "fakeness_score": 60, "fakeness_confidence": 30, "overall_score": 35, "overall_confidence": 25, "comment_types": [ { "type": "emoji reaction", "count": 1, "purpose": "Low-effort positive reaction / applause (expresses enthusiasm or approval). Functions mainly to boost visible engagement and algorithmic reach; carries little evidence about genuine audience quality." } ], "interpretation": "Only a single comment consisting of three fire emojis is available. Emoji-only comments are common from genuine fans but are also easy for bots or engagement farms to produce — they give very low signal about audience authenticity or interest in promoted products. Based on this lone, low-information comment I rate the comment set as leaning toward inauthentic (60) but with low confidence (30) because the sample is too small. For advertising-feasibility I give a cautious low score (35) and low confidence (25): this single comment neither confirms nor rules out a viable engaged audience. Recommended next steps before any purchase: (1) gather a larger sample of recent comments and timestamps, (2) inspect commenter profiles for real accounts (profile photos, posting history, follower counts), (3) look for repetitive or identical comments across posts, (4) compute engagement rate (likes+comments relative to follower count) and quality ratio (substantive text comments vs emoji/one-word), and (5) run follower-audit checks for sudden spikes or bot signals. If many comments are substantive and come from varied, active accounts, reassess and increase the advertising score." }

Text: Auch wenn sie botox hätte? Na und? Es geht hier um schminktechnik!

Analysis: { "fakeness_score": 12, "fakeness_confidence": 75, "overall_score": 60, "overall_confidence": 45, "comment_types": [ { "type": "Defensive / supportive (topic redirection)", "count": 1, "purpose": "Defend the subject against perceived personal criticism and redirect discussion to the post's subject (makeup technique)." } ], "interpretation": "The single comment ('Auch wenn sie botox hätte? Na und? Es geht hier um schminktechnik!') is a short, context-specific, defensive/supportive reply. It rebuts a likely personal attack (mention of Botox) and redirects readers to the post's topical focus (makeup technique). Linguistic cues (colloquial phrasing, direct engagement with another viewpoint) make it appear organic rather than bot-generated — hence a low fakeness score. However, this is only one comment: while it signals at least some engaged, topical audience, it is insufficient to conclude overall audience quality or engagement authenticity. For advertising feasibility, this single supportive comment is mildly positive (shows topical interest and a defending fan), but you need a broader sample: comment volume and diversity, like-to-follower ratio, timing patterns, follower authenticity, and repeated genuine interactions. Recommended next steps: collect a larger comment sample, check for repeated phrasing across comments, analyze like/comment ratios, and inspect follower accounts for bot signals before final purchase decision." }

Text: Was für eine Verwandlung - wow! 🤩 Natürlich spielen auch die Frisur und die Kleidung mit rein, aber am Ende siehst du deutlich wacher, frischer und jugendlicher aus.

Analysis: { "fakeness_score": 12, "fakeness_confidence": 70, "overall_score": 45, "overall_confidence": 40, "comment_types": [ { "type": "Compliment / Positive reaction", "count": 1, "purpose": "Praise and social proof — supports the creator, highlights perceived improvement (transformation), encourages engagement and influences other viewers' perception." } ], "interpretation": "The single comment reads as a genuine, specific compliment: it references concrete elements (hairstyle, clothing) and gives an evaluative outcome (looks more awake, fresher, younger). Characteristics that point to authenticity: mid-length, natural phrasing in German, an emoji used appropriately, no links/hashtags/CTAs, and specific observations rather than generic one-word praise. These reduce likelihood of a bot or generic spam. Residual reasons for caution: with only one comment analyzed we cannot tell whether it's from a friend/supporter, a paid/promoted account, or part of a coordinated engagement strategy (comment pods or seeded reviews). For ad-buy decisions you should not rely on this single data point. Recommended next steps: sample a larger set of recent comments across multiple posts; check the commenter(s) profiles (age, follower count, activity, follower/following ratio); look for repeated phrasing across different commenters (sign of scripted replies); compare comment volume to like counts and follower size (engagement rate); and inspect timing patterns (many similar comments in short windows). Based on this single comment, engagement quality looks positive but the evidence is insufficient to strongly validate audience authenticity — hence a cautious, moderate overall score for advertising feasibility." }

Text: Sieht toll aus 😍😍👏

Analysis: { "fakeness_score": 20, "fakeness_confidence": 50, "overall_score": 50, "overall_confidence": 35, "comment_types": [ { "type": "short positive compliment (text + emojis)", "count": 1, "purpose": "Express praise/approval and provide positive social signal; increases visible engagement and supports influencer credibility." } ], "interpretation": "The single comment 'Sieht toll aus 😍😍👏' is a brief, generic positive compliment with emojis. Signals point toward organic engagement: natural language in the post language, no links, no call-to-action, no obvious bot patterns. However, short generic praise is also the kind of comment that can be generated by engagement pods or purchased comment services, so some risk of inauthenticity exists. Given only one comment, there is very limited evidence to judge overall comment authenticity or audience quality. For advertising decisions this single positive comment is weak evidence — it indicates at least minimal positive sentiment but provides no insight into commenter relevance, follower quality, diversity of responses, engagement rate, or conversion potential. Recommended next steps: analyze a larger sample of comments, timing and diversity of commenters, like-to-comment ratios, follower profiles, and historical engagement trends before committing to ad spend." }

Text: Wow 😍

Analysis: { "fakeness_score": 70, "fakeness_confidence": 60, "overall_score": 30, "overall_confidence": 50, "comment_types": [ { "type": "Generic praise / emoji", "count": 1, "purpose": "Express admiration or positive reaction; low-effort engagement that increases visible interaction but provides little substantive feedback. Such comments are commonly left by casual followers, engagement pods, or automated/bot accounts." } ], "interpretation": "The sole comment 'Wow 😍' is a generic, low-effort positive reaction. On its own it is low signal: these comments are common from both genuine casual followers and from bots or engagement pods, so there is a meaningful risk the engagement is not authentic. Given only one short emoji comment, I cannot conclude the audience is highly engaged or valuable for advertising. Recommendation: inspect a larger sample of comments and commenter profiles (account age, follower counts, profile photos, comment diversity and specificity, posting timestamps), review likes-to-comments ratio, and check for repetitive/comment templates across posts. If most comments resemble this pattern (short, generic, repetitive), treat the influencer as lower quality for paid collaborations; if you find many detailed, specific comments from credible-looking accounts, the fakeness estimate should be reduced and ad feasibility increased." }

Text: @rukiyevizercimen

Analysis: { "fakeness_score": 35, "fakeness_confidence": 35, "overall_score": 30, "overall_confidence": 40, "comment_types": [ { "type": "mention/tag", "count": 1, "purpose": "Tagging another user to notify them or draw their attention to the post (can be genuine friend suggestion or low-effort engagement/spam)" } ], "interpretation": "Only a single comment is available and it is solely an @-mention of another account. This is a low-information signal: it could be a genuine user tagging a friend because they think the friend would be interested, or it could be low-effort engagement (bots or engagement-for-engagement networks often post simple mentions). With one mention only, there is no evidence of conversational depth, product interest, questions, or praise that would indicate authentic audience engagement suitable for advertising. Given the limited sample, I rate the comment-level fakeness as moderately low-to-moderate (35/100) but with low confidence (35/100) because one comment is insufficient to detect patterns. The overall suitability of this post for advertising is low (30/100) — there is not enough authentic, demonstrable engagement in the comments to justify strong advertising investment based on this post alone. Confidence in the overall assessment is limited (40/100). Recommendation: collect a larger sample of comments across multiple recent posts, plus metrics (likes, saves, impressions, follower count and growth, comment timing, repeated commenters) to make a reliable influencer advertising decision." }

Text: ❤️❤️❤️mega lieben Dank 😍

Analysis: { "fakeness_score": 25, "fakeness_confidence": 40, "overall_score": 30, "overall_confidence": 35, "comment_types": [ { "type": "positive/appreciative", "count": 1, "purpose": "Express gratitude and positive reaction (emotional support/engagement)." } ], "interpretation": "Only a single comment is available: '❤️❤️❤️mega lieben Dank 😍' — a short, emoji-rich German message meaning 'mega thanks'. This is a positive, appreciative reaction that increases visible engagement but provides no substantive product feedback. Such short generic praise can come from either a genuine follower or a low-effort engagement account (bot or paid comment); the use of language and multiple emojis slightly favors a human follower, but the sample size is too small to be confident. For advertising feasibility this single comment is weak evidence: engagement exists but is minimal and non-informative. Recommended next steps before a buy: inspect the commenter(s) profiles (age, follower count, posting history), examine the full comment set for repetition or patterns, check like counts and engagement rate relative to follower size, and review recent posts for authenticity signals. Based on this single comment alone, I rate the comment set as low-confidence positive engagement rather than strong social proof." }

Text: Richtig … und weniger ist oft mehr

Analysis: { "fakeness_score": 10, "fakeness_confidence": 75, "overall_score": 40, "overall_confidence": 40, "comment_types": [ { "type": "Supportive / agreement", "count": 1, "purpose": "Expresses agreement with the post's message; short endorsement that signals positive engagement or approval." } ], "interpretation": "Translation of the comment: \"Right … and less is often more.\" Tone: concise, affirmative, mildly reflective. Assessment: This single comment reads like a genuine, context-aware reaction (uses natural language and punctuation rather than generic emoji/spam patterns). There are no obvious bot signals (no repeated phrases, no promotional links, no emoji-only content). However, this is a very small sample (one comment) and lacks metadata (commenter profile, account age/followers, timing, like count on the comment). Because of that, the low fakeness score is tentative. For advertising-feasibility decisions, this single comment is a weak positive signal of authentic engagement but insufficient on its own. Recommended next steps: analyze a larger sample of recent comments (diversity, repetition, language patterns), inspect commenter profiles for real accounts versus bot-like accounts, check comment velocity and whether similar phrases repeat across posts, and look at engagement ratios (likes, saves, follower-to-comment ratio) to form a robust decision." }

Text: 👏👏👏👏

Analysis: { "fakeness_score": 60, "fakeness_confidence": 40, "overall_score": 25, "overall_confidence": 35, "comment_types": [ { "type": "Emoji reaction (applause)", "count": 1, "purpose": "Express approval/encouragement and increase visible engagement; minimal informational content — can be genuine quick praise or low-effort engagement from bots/farm accounts." } ], "interpretation": "Only a single short comment (four clapping-hand emojis) was provided. This is a low-information, high-frequency comment type: it signals positive sentiment but offers no specific endorsement, question, or user detail. Short emoji-only comments are commonly left by genuine followers who want to show support quickly, but they are also frequently produced by automated or low-effort accounts used to inflate engagement. Given the single example, I rate the comment's likelihood of being inauthentic at 60/100 (moderate-high) with low-to-moderate confidence (40/100) because context is missing (account age, commenter profile, comment frequency, timestamps, ratio of similar comments, overall engagement metrics). For advertising feasibility the overall assessment is low (25/100) with moderate uncertainty (35/100) because a single generic positive emoji does not demonstrate an engaged, interested audience or meaningful influence. Recommendation: obtain more data — number and variety of comments, commenter profiles (followers, posting history), comment timestamps and repetition patterns, like-to-comment ratio, and post reach — before making an advertising decision." }

Text: Wie gerne ich immer Frauen, die den Kajal so auftragen ansprechen würde. Aber ich Trau mich nicht 🥹 Ich schwöre fürs Abschminken auf die Emulsion von @ohganicals kaum bekannt, aber besser als alles, was ich davor hatte!

Analysis: { "fakeness_score": 20, "fakeness_confidence": 70, "overall_score": 65, "overall_confidence": 60, "comment_types": [ { "type": "Personal/relational", "count": 1, "purpose": "Expresses a personal feeling and hesitation about interacting with people shown in the post (builds relatable engagement)." }, { "type": "Product recommendation / brand mention", "count": 1, "purpose": "Recommends a specific product and tags a brand account (@ohganicals) — serves as a testimonial or referral." }, { "type": "Engagement / compliment with emoji", "count": 1, "purpose": "Uses emoji and conversational tone to react to the post, increasing perceived authenticity and social proof." } ], "interpretation": "This single comment appears largely organic. Indicators of authenticity: conversational phrasing, personal anecdote, an emoji (🥹), minor orthographic oddity (natural typing), and a specific product name and tagged brand rather than generic marketing phrasing. The tag of @ohganicals and the explicit testimonial could be a genuine user recommendation or a small-scale seeding/affiliate mention, but it lacks obvious promotional language (no URLs, no repeated hashtag patterns, no clear call-to-action), so outright fakeness is unlikely.\n\nFor advertising feasibility: the comment is a positive sign — it shows at least one audience member discussing product usage and tagging a brand, which increases social proof. However, a single comment is insufficient to conclude widespread genuine engagement or conversion potential. Recommended next steps before a buy: review a larger sample of comments for similar organic recommendations or repeated brand mentions, audit commenter profiles (real follower counts, content history), check overall engagement rate and comment diversity, and look for patterns of repeated phrasing that might indicate paid comments or comment pods.\n\nBottom line: this comment slightly increases confidence in authentic audience interest (hence the moderate overall score), but you need broader comment/profile analysis and engagement metrics to make a reliable purchase decision." }

Text: Du hast recht mit dem richtigen Make-up 😍kann man viel erreichen 👏

Analysis: { "fakeness_score": 20, "fakeness_confidence": 40, "overall_score": 45, "overall_confidence": 35, "comment_types": [ { "type": "Compliment / Positive endorsement", "count": 1, "purpose": "Praise the creator's makeup and encourage — social approval and positive reinforcement (possible genuine fan engagement)" } ], "interpretation": "The single comment (“Du hast recht mit dem richtigen Make-up 😍kann man viel erreichen 👏”) is a short, positive endorsement about makeup. Its language and emojis suggest authentic user admiration rather than obvious bot spam (no generic marketing phrasing, no links, not repetitive). However, with only one comment available, the sample is far too small to draw strong conclusions about overall audience authenticity or engagement quality. For advertising-feasibility decisions you should obtain a larger sample of comments, measure engagement rate (likes/comments relative to follower count), look for conversational/long-form comments and comments asking questions or mentioning purchase behavior, and check follower quality. Based on this single comment, sentiment is positive but evidence for real, purchase-intent engagement is limited, so the overall recommendation score is cautious/neutral." }

Text: Супер 👍

Analysis: { "fakeness_score": 40, "fakeness_confidence": 30, "overall_score": 25, "overall_confidence": 25, "comment_types": [ { "type": "Generic positive/short praise", "count": 1, "purpose": "Expresses simple approval and provides minimal social proof (likes/positive sentiment). Low informational content — often used to signal support but can be low-effort by real followers or generated by bots/engagement farms." } ], "interpretation": "Only one short comment was provided: \"Супер 👍\". This is a generic positive comment that gives very limited signal about audience quality or authenticity. Such comments are common from genuine followers but are also typical of low-effort engagement (bots, mass commenters, or paid engagement). With a single data point it is not possible to reliably determine fakeness — hence a moderate fakeness score but low confidence. For advertising decisions, this sample is insufficient. Recommend analyzing: total number of comments and likes, comment diversity (length, content, questions), commenter profiles (follow counts, activity, avatars), timing patterns (many comments in short bursts), and repeated phrases across posts. Only after reviewing broader engagement and audience quality can a reliable buy/no-buy recommendation be made. Based on current evidence, treat this influencer as unverified for ad spend and proceed with caution (consider a small test campaign and deeper audience audit)." }

Text: Инночка , красотка.🔥🔥❤️❤️👏👏

Analysis: { "fakeness_score": 10, "fakeness_confidence": 60, "overall_score": 50, "overall_confidence": 50, "comment_types": [ { "type": "compliment/support", "count": 1, "purpose": "Positive fan praise to show affection and boost engagement/social proof (short text + emojis)" } ], "interpretation": "The single comment («Инночка, красотка.🔥🔥❤️❤️👏👏») reads as a brief, affectionate compliment from a follower. It contains a diminutive name form and multiple emojis, typical of genuine fan interactions. There is little sign of generic advertising or clear bot-like patterns in this one message, but a single comment is insufficient to draw strong conclusions about the overall audience authenticity. Recommended next checks before ad purchase: review the commenter's profile (age, follower count, activity), examine the full comment sample for repetition or templated language, compare likes-to-followers and overall engagement rate across multiple posts, and inspect follower growth and comment timing patterns. Based on this lone comment, risk of fakery appears low but evidence is limited, so the influencer’s suitability for advertising remains undecided." }

Text: 👏👏

Analysis: { "fakeness_score": 40, "fakeness_confidence": 35, "overall_score": 30, "overall_confidence": 30, "comment_types": [ { "type": "generic applause emoji", "count": 1, "purpose": "Low-effort positive engagement — signals approval/celebration but gives no substantive feedback or intent; often used by genuine followers and by automated/engagement farms." } ], "interpretation": "The single comment (\"👏👏\") is a low-information, positive reaction. Such comments raise visible engagement but are ambiguous in authenticity: many real followers use applause emojis, yet bots and fake-engagement services also post brief emoji comments. With only one short emoji comment there is insufficient evidence to judge the audience quality or organic reach. For ad-buy decisions, this is a weak signal — recommend collecting more data before concluding. Next steps: inspect commenter profile(s) for follower counts/activity, analyze comment diversity and repetition across multiple posts, check likes-to-comments ratio and comment timestamps, and look for patterns of identical short comments (indicative of automation)." }

Text: Ist es nicht heute?wenn ja,wie komm ich dahin?

Analysis: { "fakeness_score": 10, "fakeness_confidence": 75, "overall_score": 70, "overall_confidence": 65, "comment_types": [ { "type": "genuine logistical question / attendance inquiry", "count": 1, "purpose": "Asking whether the event is today and how to get there (information seeking, intent to attend)." } ], "interpretation": "The single comment provided reads naturally in German and is a direct, context-specific question about timing and directions: \"Ist es nicht heute? wenn ja, wie komm ich dahin?\" This indicates real user interest and intent to attend rather than generic praise or spam. The informal punctuation/spacing also matches organic user typing. Based on this one comment alone, the likelihood it is fake or bot-generated is low (fakeness_score 10) with moderate-to-high confidence. However, the sample size is extremely small, so this is a limited signal. For advertising feasibility, this comment is a positive indicator—it shows localized, event-focused engagement which can be valuable for campaigns tied to in-person events or calls-to-action. To make a robust decision, analyze a larger sample of comments (volume, diversity, timing), check follower authenticity, comment timestamps, and look for repeated generic comments or suspicious accounts." }

Text: 🔥🔥🔥

Analysis: { "fakeness_score": 60, "fakeness_confidence": 50, "overall_score": 40, "overall_confidence": 45, "comment_types": [ { "type": "emoji-only / short praise", "count": 1, "purpose": "Express enthusiasm/approval and boost visible engagement; low informational content (does not convey audience intent, purchase interest, or demographic signals)." } ], "interpretation": "The provided sample contains a single comment made up of three 'fire' emojis. Emoji-only comments are common as quick positive reactions but carry little signal about genuine interest or purchasing intent. They are also frequently produced by engagement pods or low-effort/bot accounts, so the probability of inauthenticity is meaningful given only this data (hence a moderate fakeness score). With only one short comment there is insufficient evidence to judge audience quality, sentiment diversity, or conversion potential. For an advertising decision you should not rely on this alone: examine a larger set of comments (variety, repetition of identical comments/emojis), commenter profiles (real follower counts, posting history, profile pictures, bio language), comment timestamps (bursts indicating pods or purchased comments), likes-to-comments ratio, and engagement rate relative to follower count. Based on this single emoji comment the post shows low informational quality of engagement and is therefore a weak positive signal for ad purchase; further due diligence and broader sampling are required before recommending spend." }

Text: Unglaublich 👏👏👏

Analysis: { "fakeness_score": 40, "fakeness_confidence": 40, "overall_score": 35, "overall_confidence": 30, "comment_types": [ { "type": "short positive reaction / praise", "count": 1, "purpose": "Express admiration and boost visible engagement (encouragement/applause)." } ], "interpretation": "Only a single, short positive comment is available: \"Unglaublich 👏👏👏\" (\"Incredible\"). This is a low-information, generic praise that could be genuine fan reaction but is also consistent with common bot/generic engagement patterns (one-word compliment + emojis). With only one comment it's impossible to judge audience authenticity or depth of engagement. For advertising decisions this sample is insufficient: it neither demonstrates meaningful audience interaction (questions, specifics, multi-comment threads) nor rules out inorganic activity. Recommended next steps: review a larger sample of comments for variety and specificity, check commenter profiles for real account signals (profiles, posting history, followers), examine like-to-comment ratios, and inspect timing patterns. Based on the single comment, treat the engagement evidence as weak and ambiguous." }

Text: 🔥🔥🔥

Analysis: { "fakeness_score": 40, "fakeness_confidence": 30, "overall_score": 60, "overall_confidence": 25, "comment_types": [ { "type": "Emoji praise / low-effort positive", "count": 1, "purpose": "Express approval, excitement or endorsement using emojis; minimal-effort engagement that increases visible engagement metrics without providing substantive feedback." } ], "interpretation": "Only a single comment was provided (\"🔥🔥🔥\"). This is a generic, positive emoji comment — typical of both genuine followers reacting quickly and of low-effort or automated accounts. On its own it is weak evidence either for strong authentic audience engagement or for coordinated/fake activity. The moderate fakeness score reflects that short identical emoji comments are frequently used by bots but are also extremely common from real users; confidence is low because the sample size is one. For advertising-feasibility decisions you should not rely on this single comment. Recommended next steps: review a larger sample of recent comments for patterns (repeated identical comments, timing bursts, language mismatch), check like-to-comment ratios, inspect commenter profiles (follower counts, posting history, avatars, usernames), and audit follower growth for sudden spikes. Based on this single comment, the post shows a positive reaction but there is insufficient evidence to confidently judge authenticity or ad suitability." }

Text: Erledigt

Analysis: { "fakeness_score": 35, "fakeness_confidence": 30, "overall_score": 30, "overall_confidence": 25, "comment_types": [ { "type": "Administrative / task confirmation", "count": 1, "purpose": "Short status update indicating something was completed ('Erledigt' = 'Done'). Likely not promotional engagement; could be from a collaborator, team member, or a quick follower reply." } ], "interpretation": "Only a single short comment ('Erledigt') is available. This comment appears administrative or transactional rather than promotional or audience-driven engagement. It provides no positive sentiment toward content or brand, no product mention, and no conversational depth. Given the single-sample input, authenticity cannot be strongly determined: the comment may be genuine (a person confirming a request) or automated/boilerplate from a team account. The low volume and lack of meaningful engagement make this insufficient evidence to support advertising purchase decisions. Recommended next steps: obtain the full comment set, timestamps, likes per comment, commenter profiles (follower counts, account age, activity), and overall engagement metrics (likes, views, follower count) before making an ad-buy decision." }

Text: 👏👏👏👏

Text: +

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Text: Und weiss du mein make up heute erinnert mich an mich😍😅 ich möchte mich immer dezent schminken wie bei deine rechte Seite- zart, süß und als Ergebnis bekomme ich doch wie deine linke, ausdrucksvoll und heiß 😅😅😅

Text: Liebe Ina , das war wieder mal ein schöner Abend mit dir 😊.Danke 🙂

Text: Sehr schön 💕

Text: Liebe Ina, ich kann ja leider mittwochs nie live dabei sein, aber schaue mir im Nachhinein immer Deine Videos an. Du hast Dich wieder wunderschön geschminkt.Virken Dank, dass Du die Videos immer abspeicherst, damit man sich die später noch anschauen kann. Liebe Grüße, Britta🫶😘

Text: +

Text: Es war ein toller Abend. Jedes Mal lernt man was neues 🔥😍vielen Dank liebe Ina 🫶🥰

Text: War ein sehr schöner Abend ❤️

Text: +

Text: War super wie immer❤️❤️dankeschön!!

Text: Mittwochs Live 20:00 Uhr ist Pflicht mittlerweile 🤩 Vielen lieben Dank für deine Mühe Liebe Ina 🫶🏻

Text: Ina du bist die beste ! 😍

Text: Vielen lieben Dank liebe Ina😘 ohne große Hoffnung mache ich bei Gewinnspielen mit, weil ich ja kaum was gewinne, aber heute hab ich gewonnen 🏅 ich freue mich rieeewsig

Text: Was ist das für eine schöne Farbe? Wo gibt es die!!!

Analysis: { "fakeness_score": 10, "fakeness_confidence": 70, "overall_score": 60, "overall_confidence": 60, "comment_types": [ { "type": "Genuine praise + purchase inquiry", "count": 1, "purpose": "Compliment the product (color) and directly ask where it can be bought — indicates interest/purchase intent and product-focused engagement." } ], "interpretation": "The single comment is a short, specific, conversational question in German: 'Was ist das für eine schöne Farbe? Wo gibt es die!!!' This reads as genuine user interest (praise + request for purchase information) rather than a generic bot or spam message. Indicators of authenticity: specific reference to 'Farbe', direct question, natural punctuation and enthusiasm. Limitations: assessment is based on one comment without account metadata (username age, follower count, comment timing, repetition, likes or replies). Because of that, fakeness cannot be ruled out entirely (some fake accounts mimic natural questions). For advertising feasibility: this comment is a positive signal (shows product interest), but a single comment is insufficient to conclude broad, authentic engagement. Recommend analyzing more comments, commenter profiles, comment timestamps, variety of engagement, and overall follower authenticity before final ad-buy decisions." }

Text: Wie zauberhaft du das erklärst ♥️✨

Text: Welche Produkte benutzt du?

Text: Könntest du evtl mal was über make up oder fondation sagen, für die Haut ab 50 und was sich nicht in Falten ansetzt, dass wäre toll!

Analysis: { "fakeness_score": 10, "fakeness_confidence": 80, "overall_score": 45, "overall_confidence": 55, "comment_types": [ { "type": "request/question (product recommendation)", "count": 1, "purpose": "Asking for makeup/foundation advice for skin 50+ that doesn't settle into wrinkles — indicates genuine informational intent and signals a specific target demographic." } ], "interpretation": "The single comment appears authentic: it's specific, conversational, includes a clear request (makeup/foundation for 50+ skin), and uses informal shorthand (\"evtl\") and small spelling/grammar variations consistent with a real user. This is a positive qualitative signal for advertisers in the beauty/anti‑age segment because it demonstrates audience interest in age‑specific product advice. However, the sample is extremely small (one comment), so quantitative conclusions about overall engagement, audience size, or systematic authenticity are not possible. For ad‑purchase decisions, treat this as a mild positive indicator but require more data: volume of similar comments, commenter profile checks (age, location, follower/following ratio), comment timestamps, like-to-followers ratio, presence of repetitive/generic comments across posts (bot pattern), and overall engagement trends. Based on this single comment the content quality is good for targeted beauty advertising, but overall feasibility is uncertain due to low sample size." }

Text: Sehr informativ

Analysis: { "fakeness_score": 45, "fakeness_confidence": 30, "overall_score": 40, "overall_confidence": 25, "comment_types": [ { "type": "generic positive feedback", "count": 1, "purpose": "short appreciation / engagement; signals that content was useful or well-received but provides no detail or personal connection" } ], "interpretation": "Only a single short comment is available: 'Sehr informativ' ('Very informative'). This is a generic, positive, low-effort comment that can come from a genuine viewer, a casual follower, or automated/low-quality engagement (e.g., bot or paid engagement accounts). Because it contains no specifics, it is low information value for assessing audience relevance or purchase intent for advertising. The moderate fakeness score (45) reflects that such generic praise is commonly used by both real users and fake accounts; confidence is low (30) because one comment alone gives very limited evidence. Overall suitability for advertising (40) is cautious/neutral — a single positive but non-specific comment does not provide meaningful proof of an engaged, relevant audience. Confidence in that overall assessment is low (25). Recommendations: examine a larger sample of comments, commenter account profiles (follower counts, posting history, engagement patterns), like-to-comment ratios, comment diversity and timestamps to better judge authenticity and audience fit before ad purchase decisions." }

Text: ❤️

Analysis: { "fakeness_score": 55, "fakeness_confidence": 35, "overall_score": 30, "overall_confidence": 25, "comment_types": [ { "type": "emoji_reaction", "count": 1, "purpose": "быстрая демонстрация поддержки/положительной реакции (аналог лайка в комментариях)" } ], "interpretation": "Имеется только один комментарий — одиночный сердечный эмодзи. Это низкоинформационный сигнал: такие комментарии часто ставят реальные подписчики как быстрый знак одобрения, но они также часто генерируются ботами или низкоусердными аккаунтами (коммент-фермы). На основе единственного, короткого комментария нельзя достоверно оценить органичность аудитории или качество вовлечённости. Рекомендации: собрать больше данных (полный пул комментариев, профили комментаторов, частоту повторяющихся эмодзи/фраз, отношение комментариев к лайкам и просмотрам, временные паттерны), проверить аккаунты комментаторов на наличие биографий/публикаций/реальных подписчиков и поискать признаки массовых однотипных комментариев. Пока что качество комментариев низкое/нейтральное для целей покупки рекламы — недостаточно доказательств реальной вовлечённой аудитории." }

Text: Ich liebe deine Tipps😍😍😍

Analysis: { "fakeness_score": 40, "fakeness_confidence": 35, "overall_score": 40, "overall_confidence": 30, "comment_types": [ { "type": "Generic positive praise / emoji engagement", "count": 1, "purpose": "Express appreciation and boost visible engagement (short positive feedback, likely to increase apparent social proof)" } ], "interpretation": "Only one comment was provided: \"Ich liebe deine Tipps😍😍😍\" (\"I love your tips\"). This is a short, generic positive comment with multiple emojis. Such comments can be genuine expressions of appreciation from a follower, but they are also typical of low-effort engagement (bots, engagement pods, or purchased comments) because they contain a common praise phrase and emojis without post-specific detail. Given the single data point, there is moderate suspicion of inauthenticity (fakeness score 40) but low confidence in that assessment (35) because no broader comment patterns, commenter profile, timestamps, or like-to-comment ratios were available. For advertising feasibility the overall assessment is cautious (score 40, confidence 30). A single generic positive comment does not provide strong evidence of an engaged, authentic audience. Before deciding to purchase advertising space, request more data: a sample of recent comments across posts, the profiles of commenters (age, follower counts, activity), comment timestamps (to detect bursts), like-to-comment ratios, and audience demographics. Also check for repeated identical comments, high concentration of short generic replies, and follower quality metrics. If deeper inspection shows many substantive, specific comments from varied authentic profiles, the advertising feasibility score would rise. If many comments are equally generic or come from low-quality accounts, the influencer’s engagement quality is likely low and not a reliable basis for ad spend." }

Text: Was ist das von einer Lippenstift? Der ist ja wunderschön und ich mag solche Farbe. Vielen Dank Voraus.

Analysis: { "fakeness_score": 10, "fakeness_confidence": 75, "overall_score": 70, "overall_confidence": 65, "comment_types": [ { "type": "Product inquiry + praise", "count": 1, "purpose": "Ask about the specific product (lipstick) while expressing positive sentiment and interest." } ], "interpretation": "The single comment is a direct product-related question combined with praise: the user asks what lipstick is used and compliments the colour. Language is slightly awkward (\"Was ist das von einer Lippenstift?\"), suggesting a non-native speaker or casual/quick typing rather than generic bot phrasing. There are no typical bot signals (no repeated emojis, no promotional links, no generic one-word praise). Given only one comment, this indicates at least one piece of genuine audience interest in the product shown, which is a positive signal for advertiser relevance. However, a single comment is an extremely small sample: for ad-buy decisions you should review a larger set of comments, overall engagement rate, commenter accounts (real followers vs. low-quality accounts), timing patterns, and like-to-comment ratios. Based on this comment alone, engagement appears genuine and product-focused, but more data is needed to make a high-confidence advertising feasibility decision." }

Text: Schöne Farbe 😍

Analysis: { "fakeness_score": 25, "fakeness_confidence": 30, "overall_score": 45, "overall_confidence": 25, "comment_types": [ { "type": "positive_praise", "count": 1, "purpose": "Express appreciation/positive sentiment about the post (short, generic engagement to signal approval)." } ], "interpretation": "Only one comment was provided: 'Schöne Farbe 😍' — a short, generic positive compliment with an emoji. This type of comment commonly appears from real followers but is also easily produced by bots or paid comment services. Given the single data point there is very low confidence in any strong judgment. The comment indicates some positive sentiment but provides no evidence of meaningful audience engagement (no question, no personal reference, no detail). For advertising purchase decisions this is insufficient: you need a larger sample of comments, diversity of commenters, comment-to-like ratio, commenter profile checks (age, follower counts, posting history), and detection of repetition or templated language. Recommendation: do not rely on this single generic comment when evaluating the influencer. Perform a full engagement authenticity audit (look for varied, detailed comments, examine follower quality, check timing patterns and like/comment ratios) before proceeding with ad spend." }

Text: Inna vielen Dank für deine tolle Tips ❤️

Analysis: { "fakeness_score": 10, "fakeness_confidence": 65, "overall_score": 35, "overall_confidence": 55, "comment_types": [ { "type": "positive_thanks", "count": 1, "purpose": "Expresses gratitude and praise for the content/tips — social proof and engagement from a follower." } ], "interpretation": "Sampled comment: \"Inna vielen Dank für deine tolle Tips ❤️\" — a short, personalized thank-you in German that uses the influencer's name and a heart emoji. This reads as a genuine follower response (personalized, not generic spam) with minor informal grammar. However, the analysis is based on a single comment: that gives very limited visibility into overall audience behavior. Fakeness assessment is low (score 10) because the wording is natural and specific, but confidence is moderate because of the tiny sample size. For advertising feasibility, a single positive comment indicates some engaged followers but overall engagement appears very low from the available data; that lowers the recommendation score. Before purchasing advertising or recommending the influencer in a blog, request additional metrics: total followers, likes per post, comment counts across multiple recent posts, distribution of unique commenters, comment timestamps, follower growth history, audience demographics, and examples of longer/critical comments. If possible run a small paid test or ask for third-party engagement reports. Given the current limited evidence, treat the influencer as a cautious opportunity rather than a strong recommendation." }

Text: Deine manicure ist so schön. Erzähl uns mal bitte auch etwas über deine Handpflege. Du hast wunderschöne Hände.

Analysis: { "fakeness_score": 15, "fakeness_confidence": 70, "overall_score": 40, "overall_confidence": 50, "comment_types": [ { "type": "Compliment", "count": 1, "purpose": "Positive feedback praising the manicure and hands — builds social proof and signals approval." }, { "type": "Content request / engagement prompt", "count": 1, "purpose": "Asks the creator to share handcare routine — indicates interest in related content or products and invites a response from the influencer." } ], "interpretation": "This single comment reads as genuine: it is specific (mentions 'manicure' and 'Handpflege') and requests more information, which is typical of an engaged follower rather than generic spam. Fakeness is therefore low (estimated 15/100) but this assessment is limited because only one comment is provided. For advertising-feasibility: the comment is positive and product-relevant (handcare/manicure), which is a favorable signal for beauty/handcare advertisers, but one example is insufficient evidence of consistent, authentic engagement. Overall score 40/100 reflects potential but high uncertainty. Recommended next steps before buying ads: analyze a larger sample of recent comments (50–200), check commenter account profiles (age, activity, follower counts), measure engagement rate (likes+comments divided by follower count), look for repeated/generic phrasing, timing patterns (many comments within seconds/minutes can indicate bots), and check influencer response rate and historic campaign performance. With consistent, specific, and diverse comments like this across many posts, feasibility would increase significantly." }

Text: Was für einen Lidschatten nimmst du? Tolle Farbe😍

Analysis: { "fakeness_score": 10, "fakeness_confidence": 75, "overall_score": 70, "overall_confidence": 60, "comment_types": [ { "type": "Product inquiry + positive compliment", "count": 1, "purpose": "Ask which product/brand was used (purchase intent research), express appreciation/approval (social endorsement)." } ], "interpretation": "The single comment — \"Was für einen Lidschatten nimmst du? Tolle Farbe😍\" — reads as authentic audience engagement. It combines a direct product question (which suggests genuine interest and potential purchase intent) with an emotive compliment and an emoji; this pattern is typical of real followers rather than automated or generic bot comments. Low fakeness score is justified because the comment is specific and conversational rather than generic marketing phrasing. Limitations: this is only one comment — you cannot reliably assess overall comment authenticity, audience quality, or engagement patterns from a single sample. For advertising feasibility: this comment is a positive signal (audience curiosity about products), but you should request a larger sample of comments across multiple posts, check commenter profiles (to confirm they are real users and relevant demographics), and evaluate engagement rates, comment diversity, timing, and reply behavior before committing budget. Recommended next steps: analyze a representative sample of comments (50–200), check top commenters for repeated/patterned text, look at likes-to-followers ratio, and inspect whether product questions receive replies from the influencer (which increases conversion likelihood)." }

Text: Sind dann hier deine Lippen übergeschminkt ?

Analysis: { "fakeness_score": 10, "fakeness_confidence": 70, "overall_score": 45, "overall_confidence": 40, "comment_types": [ { "type": "genuine question / engagement", "count": 1, "purpose": "Seeks clarification about the influencer's makeup (lip application). Indicates direct, topical engagement rather than promotion or spam." } ], "interpretation": "Only one comment was provided: \"Sind dann hier deine Lippen übergeschminkt ?\" (\"Are your lips overmade/overlined here?\"). This is a direct, topical question likely from a real follower or viewer curious about the influencer's makeup technique. It appears authentic (low fakeness score) because it is specific, shows attention to the image, and does not read like generic praise or promotional text. However, a single comment is insufficient to judge overall comment quality, engagement authenticity, or suitability for advertising purchases. Implications for advertising: positive signal that some viewers engage with content in a meaningful way, but sample size is too small to conclude consistently organic engagement or audience alignment. Recommend collecting more comments (volume, sentiment, repetition), likes, follower metrics, and commenter profiles to make a reliable advertising-feasibility decision." }

Text: ❤️

Analysis: { "fakeness_score": 40, "fakeness_confidence": 55, "overall_score": 30, "overall_confidence": 45, "comment_types": [ { "type": "emoji_support", "count": 1, "purpose": "Express appreciation/positive reaction (low-effort engagement). May serve to signal support or boost visible engagement metrics." } ], "interpretation": "The only comment is a single heart emoji (\"❤️\"). This is a low-effort, positive engagement signal but provides very little information about audience authenticity, purchase intent, or meaningful interaction. Single-emoji comments are common from genuine followers who quickly show support, but they are also frequently produced by automated/bot accounts or comment-farming, so I assign a moderate probability of fakeness (40%) with moderate confidence (55%).\n\nFor advertising feasibility this single comment is a weak positive signal: it shows some engagement but not depth. With only one generic emoji, you cannot reliably judge audience quality, alignment, or conversion likelihood. Recommend collecting additional data before an ad buy: total comments and likes, comment diversity, commenter profiles (real accounts vs newly created or spammy), repeat commenters, comment timestamps (bursts vs steady), follower count and audience demographics, and historical campaign performance. Based on the current limited evidence I give an overall suitability score of 30/100 (confidence 45) — insufficient to approve an advertising purchase without further investigation." }

Text: Ich hab nicht Mal genug Lippe um sie voller zu schminken 😂 aber bei dir schaut alles super aus 😍

Analysis: { "fakeness_score": 10, "fakeness_confidence": 70, "overall_score": 60, "overall_confidence": 50, "comment_types": [ { "type": "compliment/admiration", "count": 1, "purpose": "Positive reinforcement of the influencer's appearance; expresses admiration to engage and support." }, { "type": "self-deprecating/relatability", "count": 1, "purpose": "Personal comparison that makes the commenter relatable and reinforces authenticity of the praise." }, { "type": "engagement (emoji use)", "count": 1, "purpose": "Use of emojis to convey tone (laughing + heart-eyes) and increase emotional impact of the comment, encouraging further interaction." } ], "interpretation": "This single comment reads as genuine: it contains a specific, personal remark ('Ich hab nicht Mal genug Lippe...') plus praise ('bei dir schaut alles super aus') and expressive emojis, which are typical of authentic follower engagement rather than generic bot text. The combination of self-deprecation and compliment increases perceived sincerity and relatability. However, this is only one data point — it suggests at least some organic, positive audience sentiment but cannot by itself prove overall audience quality or conversion potential. For ad-purchase decisions, review a larger sample of comments, like/comment ratios, follower authenticity, and audience demographics. Given this comment alone, the risk of fakeness is low but the confidence in a business decision should remain moderate until more evidence is collected." }

Text: Ich finde das sieht so komisch aus, aus der Nähe, wenn man etwas weiter außen "malt". Oder mache ich etwas falsch?

Analysis: { "fakeness_score": 5, "fakeness_confidence": 80, "overall_score": 55, "overall_confidence": 45, "comment_types": [ { "type": "constructive/technical question", "count": 1, "purpose": "Expresses confusion/feedback about a technique and asks for clarification or advice (engagement seeking help)." } ], "interpretation": "The single comment is specific, context-dependent and asks a genuine question about technique ('It looks strange up close when you paint further out — am I doing something wrong?'). This is characteristic of real follower engagement rather than generic or promotional comments. Fakeness is therefore very low. However, assessment is limited by the tiny sample size (only one comment provided). For advertising feasibility this comment is a positive signal (meaningful interaction), but it's insufficient to judge overall engagement quality, volume, or authenticity across the account. Recommended next checks before purchase: overall comments distribution (many unique vs. many generic), comment timing patterns, likes-per-comment ratio, follower quality, and presence of repeated templated replies or bot-like comments." }

Text: Volle Lippen

Analysis: { "fakeness_score": 35, "fakeness_confidence": 40, "overall_score": 55, "overall_confidence": 35, "comment_types": [ { "type": "short compliment / topical single-phrase", "count": 1, "purpose": "Praise/positive reaction to appearance or subject (likely a compliment about lips); aims to provide positive engagement and signal approval." } ], "interpretation": "Only one comment ('Volle Lippen') is provided. It is a short, topical compliment in German which matches typical organic reactions to beauty/cosmetic content. Short single-phrase comments are common both from genuine users and from low-effort bot/spam accounts, so with only this example we cannot strongly determine authenticity. The moderate fakeness score (35) reflects that the comment is plausible as real engagement but also could be a generic/bot-style message. For advertising feasibility the evidence is weak: if the influencer's niche is beauty/cosmetics and the audience is German-speaking, this comment is content-relevant and slightly supportive (positive signal), so tentative suitability is medium (overall score 55). However confidence is low because one comment is insufficient to judge overall comment quality or audience authenticity. Recommended next checks before purchase: analyze a larger sample of recent comments (variety, repetition, emoji use), check commenter account(s) for follower counts/activity, timing patterns (many comments posted in short bursts across posts), engagement rate (likes + comments relative to followers), audience demographics, and look for repeated identical phrases across multiple influencers. These checks will materially improve confidence in authenticity and ad-buy decisions." }

Text: Danke für den Tip. Niemals sind schmale Lippen schön . Werde deinen perfekten Tipps immer folgen.

Analysis: { "fakeness_score": 40, "fakeness_confidence": 60, "overall_score": 45, "overall_confidence": 50, "comment_types": [ { "type": "Praise / Agreement / Support", "count": 1, "purpose": "Thank the creator, agree with the advice (specific reference to 'schmale Lippen'), express loyalty and intent to follow future tips (signal of endorsement)." } ], "interpretation": "This dataset contains a single comment: a short German message that thanks the poster, states an opinion ('narrow lips are never beautiful'), and promises to follow the poster's tips. Strengths indicating authenticity: the comment references a specific topic (narrow lips), which suggests it responds to the post content rather than being purely generic. Weaknesses raising suspicion: highly enthusiastic phrasing ('your perfect tips') and the promise to 'always follow' are common in generic/automated praise; minor grammar/wording oddities could reflect either a genuine non‑native user or templated comments. Given only one comment, the sample size is too small to draw firm conclusions about overall audience quality. For an advertising decision, further checks are recommended: analyze a larger sample of recent comments for repetition and similarity, inspect commenter profiles (age, activity, follower counts), check comment timestamps for bursts, and compute engagement rate relative to follower count. Current assessment: moderately low confidence that this single comment is fake, but overall evidence is insufficient to certify audience authenticity — proceed with caution and request broader comment and follower data before committing to ad spend." }

Text: Ein Business MakeUp für Fotoshooting würde mich interessieren. 😍

Analysis: { "fakeness_score": 10, "fakeness_confidence": 70, "overall_score": 50, "overall_confidence": 55, "comment_types": [ { "type": "Genuine interest / inquiry", "count": 1, "purpose": "Expresses interest in a specific service (business makeup for a photoshoot); likely seeking information or showing intent to engage/book." } ], "interpretation": "The single comment is in natural German, specific (requests a 'Business MakeUp for photoshoot') and includes an emoji, all of which suggest a real user expressing interest rather than generic praise or spam. This is a positive signal for advertising relevance (an audience member showing intent), but the sample is extremely small — one comment cannot establish overall audience quality. The low fakeness score reflects the personalized content and lack of typical bot markers (generic compliments, emojis-only, repeated short phrases). For an advertising purchase decision, this comment is encouraging but insufficient: review a larger sample of comments across posts, engagement rates, follower authenticity, past sponsored post performance, and convert/response behavior before committing." }

Text: Einfach nur WOW, sieht toll aus😍

Analysis: { "fakeness_score": 45, "fakeness_confidence": 35, "overall_score": 35, "overall_confidence": 30, "comment_types": [ { "type": "generic positive praise", "count": 1, "purpose": "Express admiration and provide social proof (short compliment with emoji). Low informational content about true interest or purchasing intent; often used to boost visible engagement." } ], "interpretation": "The single comment \"Einfach nur WOW, sieht toll aus😍\" is a brief, positive compliment with an emoji. This is a common, low-effort engagement type that can come from a genuine follower, a casual/new follower, a friend, or an engagement/bot account. On its own it provides very limited evidence of authentic audience interest or purchase intent. The moderate fakeness score reflects that generic praise is frequently organic but also commonly imitated by engagement farms; confidence is low because there is only one comment and no contextual data (commenter profile, historical commenting behavior, timing, language consistency, comment-to-like ratio, or proportion of similar generic comments). Overall assessment for advertising feasibility based solely on this comment is low — there is insufficient signal to recommend an ad purchase. Before deciding, run a fuller audit: sample multiple post comments, inspect commenter profiles (age, follower counts, posting history, language match), check engagement rates (likes/comments per follower), look for repetitive/generic comments across posts, examine follower growth patterns, and request audience demographics and story reach metrics. With that additional data, the fakeness and overall scores could be refined." }

Text: Wow 🤩 wo sind die Produkte erhältlich? Bitte 🙏

Analysis: { "fakeness_score": 10, "fakeness_confidence": 70, "overall_score": 60, "overall_confidence": 60, "comment_types": [ { "type": "Product inquiry / Request for purchase info", "count": 1, "purpose": "Asking where the products are available; shows purchase intent and seeks transactional information." }, { "type": "Positive reaction / Praise (emoji)", "count": 1, "purpose": "Expresses admiration or excitement (uses 'Wow' and emoji) which indicates positive sentiment toward the post." } ], "interpretation": "The single comment ('Wow 🤩 wo sind die Produkte erhältlich? Bitte 🙏') is a direct, product-focused question combined with a positive reaction. This pattern is consistent with a genuine follower expressing interest and asking how to buy the product — low likelihood of being a bot or generic paid comment. Fakeness is assessed low (10/100) with moderate-high confidence because the language, emoji, and specific question fit natural user behavior. However, this is only one comment: the sample size is too small to make a robust judgement about the overall authenticity or engagement quality of the influencer's audience. For advertising feasibility this comment is a positive signal (shows real purchase intent) but is insufficient alone to recommend an ad buy. Recommended next steps: analyze a larger sample of recent comments (volume, diversity, repeated phrases), check reply rate from the influencer/brand, examine follower quality (growth patterns, follower-to-engagement ratio), and look for other signals like converted actions (link clicks, shopping tags, tracked promo codes). Based on this single comment, give a cautious, slightly favorable assessment (overall score 60/100, confidence 60/100)." }

Text: 👏👏👏👏😍❤️ sehr schön

Analysis: { "fakeness_score": 20, "fakeness_confidence": 40, "overall_score": 30, "overall_confidence": 30, "comment_types": [ { "type": "Short emoji praise / compliment", "count": 1, "purpose": "Positive social feedback (praise/appreciation); signals approval and social bonding but provides little purchase intent or audience insight." } ], "interpretation": "The single comment ('👏👏👏👏😍❤️ sehr schön') is a brief, positive reaction using emojis and a short German compliment. This pattern is consistent with normal follower engagement but is also common in low-effort bot or paid-comment activity; the content itself does not show promotional intent, specificity, or conversation. Given only one comment, there is insufficient evidence to judge the audience authenticity or the influencer's effectiveness for advertising. I rate the comment as low-likelihood fake (fakeness 20) but with modest confidence because short emoji comments are ambiguous. Overall suitability for ad purchase based solely on this comment is low (30) with low confidence. Recommendation: review a larger sample of comments across multiple posts, check commenter profiles for authenticity (age, follower/following ratio, posting history), look for varied, specific comments and conversation threads, and compare comment rate to likes and follower count before making any advertising decisions." }

Text: Hallo, könntest du bitte sagen welche Lidschatten Palette du für dieses Make-up benutzt hast sind alles schöne warme Korallentöne. Ich würde gerne die Palette wissen. 🙏🏻 vielen Dank.

Analysis: { "fakeness_score": 5, "fakeness_confidence": 80, "overall_score": 65, "overall_confidence": 50, "comment_types": [ { "type": "Product inquiry / genuine user question", "count": 1, "purpose": "Requesting the specific eyeshadow palette used; expresses product interest and possible purchase intent (engagement-driven question)." } ], "interpretation": "The single comment is a targeted, polite question in German asking which eyeshadow palette was used for the makeup (includes an emoji and a thank-you). Markers of authenticity: natural phrasing, specific product-related question, language consistent with a real follower, no generic praise or spammy patterns. This indicates real viewer interest in the product shown and is a positive sign for advertisers in cosmetics — followers are asking for product details and may convert.\n\nLimitations: assessment is based on one comment only. No broader context (total number of comments, like-to-comment ratio, commenter account details, timing patterns) is available. Because of that, the overall suitability score is moderately positive (65) but confidence is limited. For a reliable advertising decision, obtain a larger sample of comments, engagement metrics, and inspect commenter accounts for bot-like behavior (repeated phrases, new accounts, low follower counts)." }

Text: Dezent ist anders

Analysis: { "fakeness_score": 15, "fakeness_confidence": 75, "overall_score": 50, "overall_confidence": 40, "comment_types": [ { "type": "critical/negative", "count": 1, "purpose": "Expresses criticism/sarcasm about the post (\"Dezent ist anders\" = \"This isn't subtle\"); likely genuine audience reaction pointing out perceived overstatement or mismatch with expectations." } ], "interpretation": "Single comment is a brief critical/sarcastic remark in German. It reads as organic (low likelihood of being a bot or paid promotional comment) and indicates at least some real users react candidly. However, the sample size is only one comment — insufficient to draw strong conclusions about overall engagement quality or audience authenticity. For ad-buy decisions, this single genuine critical comment suggests the audience can be opinionated (potentially valuable for authentic engagement), but you should request more comprehensive metrics (total comments, like-to-comment ratio, comment content diversity, follower growth, audience demographics, and presence of repetitive/predictable replies) before making a purchase decision." }

Text: Hallo. Welche Produkte verwendest Du.

Analysis: { "fakeness_score": 10, "fakeness_confidence": 80, "overall_score": 45, "overall_confidence": 60, "comment_types": [ { "type": "product inquiry", "count": 1, "purpose": "User asks which products were used — demonstrates genuine interest in the creator's content and seeks actionable information (potential purchase intent)." } ], "interpretation": "Only a single visible comment: 'Hallo. Welche Produkte verwendest Du.' This is a direct, on-topic product question in German and reads like a genuine follower inquiry rather than spam or promotional bot content. There are no typical bot signals (generic praise, emojis, links, repeated patterns). However, the sample size is extremely small (one comment), so it's not possible to draw strong conclusions about the overall authenticity or engagement quality of the influencer's audience. For advertising feasibility: this comment is a positive signal (audience interested in products), but one comment does not indicate scalable engagement or consistent purchase intent. Recommended next steps before buying ad space: inspect number of comments and likes across multiple recent posts, comment diversity (questions vs. generic praise), follower quality (ratio of followers to engagement), temporal distribution of comments, and look for repeated or templated comments. Based on the single comment alone, score is moderate (45) with moderate confidence." }

Text: Die Augenbrauen sind aber auch zu hoch gesetzt....

Analysis: { "fakeness_score": 10, "fakeness_confidence": 70, "overall_score": 55, "overall_confidence": 50, "comment_types": [ { "type": "critical/negative", "count": 1, "purpose": "Expressing a negative opinion about the influencer's appearance (eyebrow placement); likely genuine audience feedback or constructive criticism." } ], "interpretation": "Only a single comment was provided: “Die Augenbrauen sind aber auch zu hoch gesetzt....” This is a direct, negative/critical remark about appearance. Features that support authenticity: specific criticism (not generic praise), natural language and punctuation, no obvious bot markers (no repetitive phrases, links, emojis, or call-to-action). From this single data point the comments appear likely genuine rather than manufactured (low fakeness score). However the sample size is extremely small — one comment cannot represent the overall audience sentiment, engagement quality, or fraud risk. For advertising feasibility: this single critical comment suggests the audience is willing to engage honestly (which can be positive for authentic influence), but does not indicate whether engagement is high, primarily positive, or driven by real followers. Recommendation: obtain a larger sample of recent comments, check volume and diversity of comment types (praise, questions, spam, brand mentions), measure engagement rate relative to follower count, and screen for repetitive/generic comments or spikes that indicate purchased engagement. Given limited input, overall suitability for ad purchase is uncertain; treat this result as a weakly positive sign for authenticity but insufficient to make a buy/no-buy decision." }

Text: Womit sind die Poren denn nun abgedeckt?

Analysis: { "fakeness_score": 10, "fakeness_confidence": 65, "overall_score": 50, "overall_confidence": 40, "comment_types": [ { "type": "Question / Information-seeking", "count": 1, "purpose": "The commenter asks what product or ingredient is covering pores — seeks product-specific information, indicating interest and potential purchase consideration." } ], "interpretation": "This single comment appears genuine: it's a direct, product-focused question in natural language (German) asking 'With what are the pores covered now?'. That suggests the commenter is trying to understand the product's effect or composition, which is typical of real user curiosity and potential buying intent. With only one comment provided, the sample is too small to draw strong conclusions about overall comment authenticity or community health. Recommendation: gather a larger sample of comments, check patterns (repeated short praise, emoji-only comments, copy-paste phrasing), engagement rates relative to follower count, and audience demographics before deciding on advertising spend. Current evidence is mildly positive for ad feasibility (authentic engagement signal), but confidence is limited due to small sample size." }

Text: Was sind das für Produkte ?

Analysis: { "fakeness_score": 10, "fakeness_confidence": 80, "overall_score": 35, "overall_confidence": 50, "comment_types": [ { "type": "information-seeking question", "count": 1, "purpose": "A follower asking for product identification/details (genuine curiosity or purchase interest)" } ], "interpretation": "The single comment, 'Was sind das für Produkte ?' is a direct question asking what the products are. This is consistent with genuine engagement (a user seeking information or considering purchase) rather than obvious bot/spam behavior. However, a single neutral question is very limited evidence for assessing audience quality or influencer authenticity. Low fakeness score reflects high likelihood the comment is real, but overall assessment for advertising feasibility is low-to-moderate (35/100) because there is insufficient volume and variety of comments to judge engagement depth, sentiment, or audience match. Recommend collecting more comments across multiple posts, checking reply rates, follower-to-engagement ratio, timing patterns, and diversity of commenter accounts before deciding on ad spend." }

Text: ❤️❤️❤️

Analysis: { "fakeness_score": 45, "fakeness_confidence": 30, "overall_score": 35, "overall_confidence": 25, "comment_types": [ { "type": "Emoji reaction (❤️❤️❤️)", "count": 1, "purpose": "Express positive sentiment/affection and register lightweight engagement; increases visible comment count but conveys no substantive feedback." } ], "interpretation": "Only a single comment is available, consisting of three heart emojis. This is a low-information, positive but generic engagement signal. Emoji-only comments are common from both genuine followers and low-effort/bot accounts, so fakeness assessment is uncertain (moderately likely to be organic but plausible as inorganic). With one non-substantive comment it is not possible to judge audience authenticity, engagement quality, or ad receptiveness. For advertising-feasibility decisions, request more data: distribution of comments (content diversity and length), like-to-follower ratio, timing patterns, follower demographics, repeat commenters, and examples of campaign-related comments. Based on the lone comment, assign a cautious, below-average overall suitability score; confidence is low due to insufficient sample size." }

Text: Richtig schön

Analysis: { "fakeness_score": 30, "fakeness_confidence": 50, "overall_score": 40, "overall_confidence": 50, "comment_types": [ { "type": "compliment / praise (short, generic)", "count": 1, "purpose": "Express appreciation/approval and provide social validation for the post." } ], "interpretation": "Only a single comment is available: \"Richtig schön\" (German for \"Really/very beautiful\"). It is a short, generic positive remark that functions as social proof but provides little signal about audience quality or genuine engagement. Strengths: natural language in the local language and no obvious spam indicators (no links, hashtags, or emojis). Weaknesses: brevity and generic wording are consistent with both casual follower comments and low-effort/bot replies; single data point gives no insight into commenter profile, diversity of responses, conversation depth, or repeated patterns. For advertising feasibility this comment alone is insufficient evidence of an engaged, brand-relevant audience. Recommendation: review volume and variety of comments, commenter account authenticity (profiles, follower counts, posting history), likes-to-comments ratio, and comment timestamps to detect inorganic patterns before making buying decisions." }

Text: 🔥🔥🔥

Analysis: { "fakeness_score": 60, "fakeness_confidence": 30, "overall_score": 45, "overall_confidence": 30, "comment_types": [ { "type": "emoji-only praise", "count": 1, "purpose": "Express enthusiasm/approval and boost visible engagement; minimal informational content. Such comments may come from genuine followers, casual viewers, or engagement pods/bots that post generic emojis." } ], "interpretation": "Only a single comment is available: \"🔥🔥🔥\". Emoji-only responses indicate positive sentiment but provide almost no signal about purchase intent, audience relevance, or authenticity. These comments are common both from real fans and from low-effort bot/engagement-pod activity, so the risk of inauthentic engagement is non-negligible. Given the very small sample size, the fakeness estimate is tentative (moderate) and overall suitability for advertising is uncertain. Actionable next steps: collect a larger sample of comments across multiple posts, examine comment diversity (long-form praise, questions, tagged friends), check commenter profiles for real accounts (profile photo, post history, follower counts, account age), measure engagement rates (likes vs comments vs follower count), and look for repetitive/generic comments or identical emojis across many posts — these are stronger signals of inorganic engagement. With only this one emoji comment, I would not rely on comment quality alone to approve an advertising buy; further data is required." }

Text: Auch wenn sie botox hätte? Na und? Es geht hier um schminktechnik!

Analysis: { "fakeness_score": 10, "fakeness_confidence": 75, "overall_score": 60, "overall_confidence": 50, "comment_types": [ { "type": "defensive/refocusing", "count": 1, "purpose": "Defend the subject against a perceived personal attack (Botox), dismiss relevance of that criticism, and redirect conversation to the stated topic (makeup technique)." } ], "interpretation": "This single comment reads as a genuine, human defensive response: it rebuts a potential criticism about Botox and emphasizes that the post is about makeup technique. Language is natural (colloquial German), contains rhetorical questions and an exclamation used to refocus the discussion—typical of engaged followers rather than generic praise or promotional bot comments. With only one comment available, signal is very limited: it suggests at least some audience interest in content over personal attacks, which is mildly positive for advertising suitability, but does not provide robust evidence of overall engagement quality or audience authenticity. Recommendation: analyze a larger sample of comments, engagement rates, commenter profiles and timing patterns before making buy/sell decisions." }

Text: Was für eine Verwandlung - wow! 🤩 Natürlich spielen auch die Frisur und die Kleidung mit rein, aber am Ende siehst du deutlich wacher, frischer und jugendlicher aus.

Analysis: { "fakeness_score": 5, "fakeness_confidence": 90, "overall_score": 60, "overall_confidence": 50, "comment_types": [ { "type": "Compliment / transformation praise", "count": 1, "purpose": "Positive feedback and social proof — praising the makeover, reinforces credibility and encourages engagement." } ], "interpretation": "The single comment is a natural, specific compliment in German (mentions 'transformation', hairstyle/clothing, and outcomes like 'wacher, frischer, jugendlicher') and includes an emoji — characteristics consistent with a genuine follower reaction rather than bot/spam. Fakeness risk is low (rated 5) with high confidence because the language is nuanced and not generic. However, this is only one comment: the sample size is too small to draw strong conclusions about the audience quality or overall engagement authenticity. For advertising-feasibility decisions, this single positive comment is a small positive signal but insufficient alone — recommend reviewing a larger set of comments, commenter profiles (repeat commenters, follower/following ratios), overall engagement rate (likes/comments per follower), and account history before purchase. Based on available data, a cautious moderate score (60) reflects potential but limited evidence; confidence in that overall assessment is moderate (50) due to the very small sample." }

Text: Sieht toll aus 😍😍👏

Analysis: { "fakeness_score": 60, "fakeness_confidence": 30, "overall_score": 40, "overall_confidence": 25, "comment_types": [ { "type": "generic compliment / emoji praise", "count": 1, "purpose": "positive engagement / social proof — short praise with emojis that signals approval but offers no substantive feedback, personal detail, or purchase intent." } ], "interpretation": "Only a single comment was provided: 'Sieht toll aus 😍😍👏' (\"Looks great\"). This is a short, positive, emoji-rich compliment. Such comments are common among genuine followers but are also commonly produced by bots, engagement pods, or low-effort accounts. Because the comment contains no product-specific detail, no question, no personal reference, and only generic emojis, its evidential value for true follower interest or purchase intent is low. With only one comment available, overall assessment is highly uncertain. For influencer advertising decisions you should request a larger sample of recent comments, commenter account metadata (followers, posting history, mutuals), comment timing patterns, like-to-comment ratios, and any evidence of comment recycling or repeated phrases across posts. Based on this single comment alone I assign a moderately high fakeness suspicion (60/100) but with low confidence (30/100) and a cautious overall suitability score for advertising (40/100) with low confidence (25/100)." }

Text: Wow 😍

Analysis: { "fakeness_score": 60, "fakeness_confidence": 50, "overall_score": 40, "overall_confidence": 30, "comment_types": [ { "type": "short positive / emoji-only", "count": 1, "purpose": "Express admiration or positive reaction; minimal-effort engagement that increases visible interaction count" } ], "interpretation": "Only one comment is available: a single short positive emoji response (\"Wow 😍\"). Emoji-only or one-word praise comments are common among genuine followers but are also frequently produced by bots, engagement pods, or low-effort accounts. With a sample size of one there is very limited signal: the comment increases visible engagement but provides no conversational depth or indication of genuine interest (no questions, no tagging, no specific praise). The estimated fakeness score of 60 reflects that this kind of comment has a higher-than-baseline chance of being low-quality or non-organic, but confidence is moderate (50) because a single comment is insufficient to draw a strong conclusion. For advertising-feasibility, the overall score 40 (confidence 30) indicates caution: this single comment does not demonstrate strong, authentic audience engagement. Recommendation: analyze a larger sample of comments, commenter profiles (account age, follower counts, posting activity), likes-to-followers ratio, comment diversity, and timestamps before making a buying decision." }

Text: @rukiyevizercimen

Analysis: { "fakeness_score": 60, "fakeness_confidence": 40, "overall_score": 30, "overall_confidence": 25, "comment_types": [ { "type": "Tag / username mention", "count": 1, "purpose": "To draw another user's attention to the post (tagging a friend) or to show minimal engagement; can also be used by engagement pods or automated accounts to create visible activity." } ], "interpretation": "Only a single comment is available and it consists solely of a tagged username (@rukiyevizercimen). Such comments are low-information: they often indicate someone tagging a friend (organic behavior), but they are also commonly produced by engagement pods or low-effort/bot accounts. With only this data point it is not possible to reliably judge the audience quality or authenticity. The comment suggests low-quality engagement on this post (no substantive text, no compliments/questions), reducing the post's value as evidence of strong, genuine interest from followers. For advertising-buy decisions, this single tag comment is insufficient and weak positive signal; you should request a larger sample of comments, engagement rate metrics (likes, saves, reach), follower quality (growth history, follower demographics, follower authenticity checks), and examples of comments that show purchase intent or meaningful interaction before proceeding." }

Text: ❤️❤️❤️mega lieben Dank 😍

Analysis: { "fakeness_score": 20, "fakeness_confidence": 50, "overall_score": 35, "overall_confidence": 40, "comment_types": [ { "type": "short positive/thank-you with emojis", "count": 1, "purpose": "Express appreciation and positive reaction; provides visible engagement/social proof but contains no substantive feedback about content or product." } ], "interpretation": "The single comment ('❤️❤️❤️mega lieben Dank 😍') is a short, emoji-heavy German-language thank-you. It functions as lightweight positive engagement and social affirmation rather than detailed or product-related feedback. Based on content alone it appears more likely genuine (a follower or friend expressing thanks) than an obvious bot-generated phrase, but the assessment is uncertain because short praise with emojis is commonly used both organically and in engagement-brokering (pods/paid comments). With only one comment provided, there is insufficient evidence to judge overall audience quality or authentic engagement levels. For an advertising decision, this sample suggests surface-level positivity but does not demonstrate meaningful audience interaction, interest in offerings, or conversion potential. Recommended next steps: analyze a larger sample of comments (variety, depth, language mix), check commenter profiles for authenticity (follower counts, posting history, profile pictures), review like-to-comment ratios, comment timing patterns, and compare to follower count to detect inflation or engagement pods." }

Text: Richtig … und weniger ist oft mehr

Analysis: { "fakeness_score": 10, "fakeness_confidence": 65, "overall_score": 35, "overall_confidence": 60, "comment_types": [ { "type": "supportive/affirmation", "count": 1, "purpose": "Express agreement with the post's message; positive/social validation" } ], "interpretation": "Single German-language comment ('Richtig … und weniger ist oft mehr' = 'Right ... and less is often more') reads as a brief, context-relevant affirmation. Tone and wording are natural and not promotional, with no obvious bot patterns, spam, or repeated marketing language. However, this is only one comment — sample size is too small to judge audience authenticity or engagement reliably. For advertising decisions, this single genuine-seeming comment is a small positive signal but insufficient; request metrics on comment volume, like-to-follower ratio, comment diversity, follower quality, and recent activity before proceeding." }

Text: 👏👏👏👏

Analysis: { "fakeness_score": 55, "fakeness_confidence": 45, "overall_score": 35, "overall_confidence": 30, "comment_types": [ { "type": "emoji-only applause", "count": 1, "purpose": "Positive/celebratory reaction — low-effort engagement that signals approval or congratulations but offers no substantive feedback." } ], "interpretation": "Only a single comment is available and it is four clapping-hand emojis. Emoji-only comments are ambiguous: they can be genuine quick reactions from real followers or low-effort engagement from bots/engagement pods. With just this data point we cannot reliably assess authenticity or audience quality. The presence of an emoji-only comment suggests shallow engagement (boosts visible engagement count) but provides no information about audience relevance, purchase intent, or true reach. For an advertising decision, this is weak evidence: recommend analyzing a larger sample of recent comments, commenter profiles (activity, follower counts, account age, profile photos/bios), comment diversity and depth, timing/repetition patterns, and other metrics (reach, saves, story views, DMs) before buying. If limited to this sample, treat engagement as low-quality/uncertain and proceed cautiously (consider a small paid test campaign to verify performance)." }

Text: Wie gerne ich immer Frauen, die den Kajal so auftragen ansprechen würde. Aber ich Trau mich nicht 🥹 Ich schwöre fürs Abschminken auf die Emulsion von @ohganicals kaum bekannt, aber besser als alles, was ich davor hatte!

Analysis: { "fakeness_score": 20, "fakeness_confidence": 65, "overall_score": 70, "overall_confidence": 55, "comment_types": [ { "type": "personal anecdote / social interaction", "count": 1, "purpose": "Expresses a personal feeling (shyness) and attempts social connection with the post/subject." }, { "type": "product testimonial / recommendation", "count": 1, "purpose": "Recommends a specific product (emulsion) and praises its effectiveness compared to alternatives." }, { "type": "brand mention / tag", "count": 1, "purpose": "Tags a brand account (@ohganicals) — could be an organic mention or subtle promotion." } ], "interpretation": "The single comment reads like a natural, individual response: it contains a personal emotional statement (shyness), an emoji, a specific product recommendation, and a tagged brand handle. These features (informal phrasing, emoji, self-disclosure) lean toward authenticity. The presence of a brand tag and strong praise could be organic word-of-mouth or a small-scale promotional mention; there is no explicit call-to-action, link, or repeated marketing language that would strongly indicate a paid/fake comment. Given only one comment to evaluate, the assessment is limited: this is a low-likelihood fake comment (fakeness_score 20) but additional signals should be checked before deciding on ad spend. Recommended next checks for advertising feasibility: volume and diversity of comments, whether similar product tags repeat across comments (organic vs. seeded), commenter account age and activity, engagement rate of the post (likes/comments relative to follower count), and any comments that appear templated or duplicated. Based on this single comment, the post shows a positive, seemingly genuine user endorsement — a modestly favorable signal for influencer credibility but not sufficient alone to approve significant ad investment." }

Text: Du hast recht mit dem richtigen Make-up 😍kann man viel erreichen 👏

Analysis: { "fakeness_score": 15, "fakeness_confidence": 60, "overall_score": 60, "overall_confidence": 50, "comment_types": [ { "type": "compliment / positive endorsement", "count": 1, "purpose": "Express praise for the look/makeup and implicitly endorse the message (positive sentiment, engagement to support the post)." } ], "interpretation": "The single comment ('Du hast recht mit dem richtigen Make-up 😍kann man viel erreichen 👏') reads as a natural, brief compliment and an implicit endorsement of makeup. Linguistic cues (idiomatic German sentence, emojis that match sentiment) suggest a genuine user reaction rather than a stiff generic bot reply. However, with only one comment provided the sample is too small to be confident about broader audience authenticity or engagement quality. Risk factors for inauthenticity are low based on this comment alone, but a reliable advertising decision requires broader checks: volume and variety of comments, timing patterns, commenter profile reviews (age, follower counts, activity), repetition of similar phrases across posts, engagement rate vs follower count, and presence of verified purchasers or tagged users. Based on this single comment, the post shows relevance for beauty-related ads (positive sentiment toward makeup), but I recommend a fuller dataset before finalizing an advertising purchase." }

Text: Супер 👍

Analysis: { "fakeness_score": 40, "fakeness_confidence": 50, "overall_score": 45, "overall_confidence": 30, "comment_types": [ { "type": "Short positive compliment", "count": 1, "purpose": "Express approval/praise; signals positive sentiment toward the post." }, { "type": "Low-effort / generic engagement", "count": 1, "purpose": "Quick, minimal-effort reply (emoji + one word) that can be genuine casual reaction or produced by bots/engagement pods; ambiguous without more data." } ], "interpretation": "There is a single comment: 'Супер 👍' — a short, positive reaction. This kind of comment conveys favorable sentiment but is low-effort and therefore ambiguous for authenticity: it can be a genuine quick compliment from a follower or part of generic/bot engagement. With only one comment provided, the sample size is too small to draw reliable conclusions about overall audience authenticity or ad performance. Preliminary fakeness estimate is moderate (40/100) with only medium confidence because short generic comments are common both among real users and fake accounts. For advertising-feasibility assessment I rate the post as borderline/uncertain (45/100) with low confidence. Recommended next steps before a purchase decision: obtain the full comment set and timestamps, number of unique commenters, commenter profile checks (age, follower counts, posting history), like-to-comment ratio, comment diversity (length, language, questions), and look for patterns of repeated or templated replies. If many comments are similarly short/generic and from new accounts, fakeness risk rises significantly and I would advise against investment until authenticity improves." }

Text: Инночка , красотка.🔥🔥❤️❤️👏👏

Analysis: { "fakeness_score": 15, "fakeness_confidence": 55, "overall_score": 40, "overall_confidence": 25, "comment_types": [ { "type": "Compliment / Fan praise (short, emoji-rich)", "count": 1, "purpose": "Express admiration and reinforce positive image; functions as lightweight social proof and engagement." } ], "interpretation": "Образец очень мал (один комментарий). Текст \"Инночка, красотка. 🔥🔥❤️❤️👏👏\" — краткий, персонализированный (уменьшительное имя), эмоциональный, с набором эмодзи. По характеру это типичный лайковый комментарий от подписчика или знакомого: низкоинформативен, служит для поддержки автора. Уровень фейковости оцениваю как низкий (ок. 15/100) — персонализация и отсутствие очевидной шаблонности уменьшает вероятность массового бота, но нельзя исключить накрутку или координированные короткие комментарии. Уверенность в этой оценке средняя (55/100) из‑за малого объёма данных. Для решения о покупке рекламы нельзя опираться на этот единичный комментарий — нужно больше метрик: распределение комментариев по времени, повторяющиеся тексты, профили комментаторов (реальные фото, активность, followers/following), соотношение лайков/комментариев, уровень вовлечённости по другим постам. Рекомендации: собрать выборку минимум 50–200 комментариев, проверить 10–20 профилей комментаторов вручную или через инструменты анализа аудитории, и оценить консистентность языка/тона/тем. Только после этого можно дать надёжную рекомендацию по рекламной покупке." }

Text: 👏👏

Analysis: { "fakeness_score": 50, "fakeness_confidence": 30, "overall_score": 25, "overall_confidence": 35, "comment_types": [ { "type": "emoji-only praise / low-information engagement", "count": 1, "purpose": "Express approval or support and increase visible engagement; no substantive feedback or intent to convert." } ], "interpretation": "The single comment (two clapping hands) is a generic positive reaction that signals approval but provides no substantive information about audience quality, interest in products, or purchase intent. Emoji-only comments are commonly left by genuine followers as quick praise, but are also frequently produced by bots or duplicate accounts to inflate engagement; with only one comment and no contextual metadata (account age, prior behavior, timing, username), authenticity cannot be determined. For advertising-feasibility decisions this is weak evidence: it marginally supports that the post elicited a positive reaction, but not that the influencer reliably drives meaningful engagement or conversions. Recommended next steps before buying ads: examine a larger sample of comments for diversity and specificity, check commenter profiles for real accounts (profile photos, bios, follower counts, posting history), compute engagement rate (likes/comments relative to follower count), and request past campaign performance or audience demographics. Based on this single emoji comment alone, I rate the post's comment signal as low (overall_score 25) with moderate uncertainty (overall_confidence 35)." }

Text: Ist es nicht heute?wenn ja,wie komm ich dahin?

Analysis: { "fakeness_score": 5, "fakeness_confidence": 75, "overall_score": 40, "overall_confidence": 60, "comment_types": [ { "type": "Logistics / event question", "count": 1, "purpose": "Ask about event timing and how to get there (information-seeking, intent to attend)" } ], "interpretation": "There is only a single comment provided: a direct, short German question ('Ist es nicht heute? wenn ja, wie komm ich dahin?'). This reads as a genuine, situational user inquiry rather than a generic promotional or bot-like message (natural language, specific content). Fakeness is therefore very low. However, a single comment gives almost no signal about overall audience authenticity or engagement quality. For advertising feasibility you need more data: volume and diversity of comments, commenter profile quality (real accounts, follower counts, history), reply rates from the influencer, timing patterns, and presence of generic/generic-emoji comments that often indicate paid or bot engagement. Based on this single genuine-looking comment, score for using the influencer for advertising remains low-to-moderate (40) because engagement quantity and variety are unknown. Recommended next steps: collect a larger sample of recent post comments, inspect commenter profiles for authenticity, check engagement rates vs follower count, and review comment sentiment and specificity across multiple posts before making a purchase decision." }

Text: 🔥🔥🔥

Analysis: { "fakeness_score": 65, "fakeness_confidence": 30, "overall_score": 35, "overall_confidence": 25, "comment_types": [ { "type": "emoji_reaction", "count": 1, "purpose": "express enthusiasm/approval (low-effort positive engagement; shows appreciation but conveys no substantive feedback)" } ], "interpretation": "The single comment provided is a three-fire-emoji reply (🔥🔥🔥). Emoji-only reactions are common and can be genuine quick-positive responses, but they are also frequently used in coordinated or fake engagement to inflate visible activity. With only one short emoji comment, there is very little signal about audience quality, sentiment depth, or purchase intent. The relatively high fakeness score reflects the ambiguity and ease of fabricating such comments; confidence is low because the sample is tiny. For an advertising-purchase decision, this isolated comment suggests low actionable insight and weak evidence of authentic, engaged followers. Recommend collecting a larger sample of comments, commenter profiles (age, follower count, activity), like-to-comment ratios, timing patterns, and diversity of comment content before making a buying decision." }

Text: Unglaublich 👏👏👏

Analysis: { "fakeness_score": 30, "fakeness_confidence": 45, "overall_score": 45, "overall_confidence": 40, "comment_types": [ { "type": "short generic praise", "count": 1, "purpose": "positive reinforcement/social proof — a brief compliment to show approval or admiration (emojis used to amplify reaction). Could be from a genuine follower, a casual visitor, or a low-effort/bot comment." } ], "interpretation": "Only a single comment is available: \"Unglaublich 👏👏👏\" (German, meaning \"Unbelievable\" with clapping emojis). This is a short, highly generic positive reaction that functions as social proof but provides no substantive engagement (no questions, no specifics). Such comments are common both from real fans and from low-effort bot accounts or comment farms, so the probability of being fake is non-negligible but not high. Key signals missing to improve confidence: commenter profile details (age, follower count, posting history), timing relative to post, repetition of the same phrase across multiple commenters or posts, and the overall comments-to-likes ratio. Given the limited sample, the post's comment quality is insufficient to strongly support an advertising decision; it shows positive sentiment but not meaningful audience interest or targeted engagement. Recommendations: analyze a larger sample of comments across several recent posts; inspect commenter profiles for authenticity; compare like:comment ratios and engagement patterns; check for repeated templates or identical comments (sign of automation). Use those additional checks before relying on this influencer for ad spend." }

Text: 🔥🔥🔥

Analysis: { "fakeness_score": 60, "fakeness_confidence": 35, "overall_score": 40, "overall_confidence": 30, "comment_types": [ { "type": "emoji-only", "count": 1, "purpose": "Express brief enthusiasm/praise and boost visible engagement; can be genuine quick reaction or low-effort/generic comment often produced by bots, engagement pods, or casual followers." } ], "interpretation": "The single comment is three fire emojis — a positive but low-information reaction. Emoji-only comments frequently indicate approval or excitement, but they are easy to produce and therefore have a moderate chance of being inorganic (bots, purchased comments, or engagement pods). With only one short comment and no metadata (commenter profile, timing, number of comments/likes, or distribution of comment types), authenticity cannot be confidently determined. For advertising feasibility this comment alone is weak evidence of an engaged, high-quality audience: it signals some positive sentiment but provides no intent, interest, or actionable signal (no questions, no mention of product, no conversation). Recommendation: obtain a larger sample of comments and commenter profiles; check comment diversity (length, substance), timing patterns, follower-to-commenter quality, like-to-comment ratio, and repeated short/generic comments across posts. If a substantial share of comments are similar emoji-only messages, increase fraud risk and reduce ad spend confidence. Conversely, if most other comments are substantive and from credible accounts, this single emoji becomes more likely genuine." }

Text: Erledigt

Analysis: { "fakeness_score": 30, "fakeness_confidence": 40, "overall_score": 25, "overall_confidence": 30, "comment_types": [ { "type": "Task/Action confirmation", "count": 1, "purpose": "A short confirmation that something has been completed ('Erledigt' = 'Done'). Likely transactional (confirming a task, order, or admin action) rather than conversational or promotional engagement." } ], "interpretation": "Dataset is extremely limited (single short comment: 'Erledigt'). This comment looks like a transactional or administrative confirmation rather than genuine audience engagement (no sentiment, no product-related content, no emojis, no questions). Fakeness risk is moderate-low: the content is too short to prove orchestration, but single-comment context and lack of broader engagement raise concerns about low organic interaction. For advertising feasibility this sample is inconclusive and leans negative — there is not enough visible, meaningful audience engagement to justify confidence in influence or return on ad spend. Recommended next steps: obtain a larger sample of comments across multiple posts, check likes-to-followers ratio, commenter account quality (profile completeness, activity, followers), time distribution of comments, and metrics like saves/shares and story interactions before making a buying decision." }

Text: 👏👏👏👏

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Text: Und weiss du mein make up heute erinnert mich an mich😍😅 ich möchte mich immer dezent schminken wie bei deine rechte Seite- zart, süß und als Ergebnis bekomme ich doch wie deine linke, ausdrucksvoll und heiß 😅😅😅

Text: Liebe Ina , das war wieder mal ein schöner Abend mit dir 😊.Danke 🙂

Text: Sehr schön 💕

Text: Liebe Ina, ich kann ja leider mittwochs nie live dabei sein, aber schaue mir im Nachhinein immer Deine Videos an. Du hast Dich wieder wunderschön geschminkt.Virken Dank, dass Du die Videos immer abspeicherst, damit man sich die später noch anschauen kann. Liebe Grüße, Britta🫶😘

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Text: Es war ein toller Abend. Jedes Mal lernt man was neues 🔥😍vielen Dank liebe Ina 🫶🥰

Text: War ein sehr schöner Abend ❤️

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Text: War super wie immer❤️❤️dankeschön!!

Text: Mittwochs Live 20:00 Uhr ist Pflicht mittlerweile 🤩 Vielen lieben Dank für deine Mühe Liebe Ina 🫶🏻

Text: Ina du bist die beste ! 😍

Text: Vielen lieben Dank liebe Ina😘 ohne große Hoffnung mache ich bei Gewinnspielen mit, weil ich ja kaum was gewinne, aber heute hab ich gewonnen 🏅 ich freue mich rieeewsig

Text: Was ist das für eine schöne Farbe? Wo gibt es die!!!

Analysis: { "fakeness_score": 15, "fakeness_confidence": 60, "overall_score": 60, "overall_confidence": 55, "comment_types": [ { "type": "genuine_inquiry_compliment", "count": 1, "purpose": "Compliment on product/visual (positive engagement) and asking where to buy — expresses interest/purchase intent." } ], "interpretation": "The single comment ('Was ist das für eine schöne Farbe? Wo gibt es die!!!') reads as a genuine compliment combined with a direct purchase question. Linguistic cues (natural phrasing, question asking where to get it, enthusiastic punctuation) point toward a real user interested in the item rather than a generic bot/spam message. However, this is only one comment: there is insufficient context to reliably judge overall comment authenticity or audience quality. For advertising decisions, this comment is a positive signal of potential buyer intent, but you should review a larger sample of comments, commenter account profiles, timing patterns, like-to-comment ratios, and follower authenticity before committing. Based on this single comment the likelihood of inauthenticity is low (fakeness_score=15) but confidence is moderate because of limited data; overall suitability for advertising is cautiously positive (overall_score=60) with moderate confidence." }