SocialCrawl – search what people are saying across Reddit, X, TikTok, and 25

SocialCrawl은 Reddit, X, TikTok, YouTube 등 27개 소셜 및 광고 플랫폼의 실시간 데이터를 통합 검색하고 AI가 감정 분석, 결론 요약, 의견 분포 등을 제공하는 서비스입니다. 구글이나 ChatGPT가 접근하지 못하는 댓글과 비공개 콘텐츠까지 한 번에 탐색 가능하며, API를 통해 개발자가 쉽게 연동할 수 있어 AI 에이전트나 데이터 파이프라인 구축에 유용합니다. 원본 콘텐츠를 그대로 보여주면서 AI가 브리핑을 제공해 신뢰성과 투명성을 높였고, 다양한 요금제와 무료 체험을 지원합니다.

https://www.socialcrawl.dev

#socialcrawl #socialmedia #api #ai #sentimentanalysis

The Impact of AI-Generated Text on the Internet

2022년 말 ChatGPT 출시 이후 2025년 중반까지 인터넷에 새로 게시된 웹사이트의 약 35%가 AI 생성 또는 AI 지원 텍스트로 분류되었다. 연구 결과 AI 생성 텍스트의 증가는 의미적 다양성 감소와 긍정적 감정 증가와 상관관계가 있었으나, 사실 정확성 저하나 스타일 다양성 감소와는 통계적으로 유의미한 연관성이 발견되지 않았다. 대중은 AI 텍스트가 사실 왜곡을 증가시킨다고 인식하지만, 실제 데이터는 이를 뒷받침하지 않는다. 이 연구는 인터넷 상의 AI 텍스트 확산이 온라인 담론에 미치는 실제 영향과 대중 인식 간 차이를 보여준다.

https://ai-on-the-internet.github.io/

#aigeneratedtext #internet #semanticdiversity #sentimentanalysis #aiimpact

Morgen im #DigitalHumanities Kolloquium zu aktuellen Forschungsthemen 2026:

Patrick Brookshire, #AdWMainz & @unimainz: „Tracing Live Events: Muster in historischen Biographien“

📍 Donnerstag, 07.05.2026, 17:45–19:15 Uhr, HS XVIII, Hauptgebäude @UniKoeln

Alle Interessierten sind herzlich willkommen! Es ist keine Anmeldung nötig.

@IDH_Cologne @prometheus_bildarchiv

#ComputationalLinguistics #SentimentAnalysis

Poking around with sentiment analysis on the public domain copy of Pride and Prejudice by Jane Austen.

I extracted the speech, did a strict attribution, and ran sentiment analysis for different speakers based off chunks sampled from the text.

Elizabeth is neutral with a 28% confidence level, Jane is joyful at a 57% confidence. Darcy is sad with 94% confidence and Mrs Bennet is joyful at 95% confidence.

Those aren't the emotions I get from reading the text. Again, I'm learning more about the sentiment analysis than the text.
https://www.kaggle.com/code/alisonhawke/pride-and-prejudice

#DataScience #Python #Literature #TextAnalysis #SentimentAnalysis

Social Listening, Brand Monitoring & Analytics, One API Handles All of It

Not all social media APIs are built the same. Some track conversations, some measure performance, and some flag brand mentions the moment they go live. Understanding which type fits your goal can completely change how you use social data — and how fast you act on it.
https://www.tagxdata.com/what-is-a-social-media-api-and-how-does-it-work
#SocialMediaStrategy
#SentimentAnalysis
#DataDrivenGrowth
#BusinessIntelligence

Spent some time doing data analysis on the Project Gutenberg text of Pride and Prejudice.

Pulling out all the speech, the library I used said it was "emotionally neutral" in sentiment. Which is interesting because when you read it, the speech is absolutely not that. There's a lot in the subtleties of the speech that makes it very pointed.

The confidence on the emotional rating was 57%, which seems low to me. Doing analysis on a book I'm familiar with and recently read is telling me as much about the means of evaluating the text as the text itself.
#DataScience #TextAnalysis #SentimentAnalysis

AI For The Skeptics: Attempting To Do Something Useful With It

https://fed.brid.gy/r/https://hackaday.com/2026/04/15/ai-for-the-skeptics-attempting-to-do-something-useful-with-it/