Truth Sleuth and Trend Bender: AI Agents to fact-check YouTube videos and influence opinions
C\'ecile Log\'e, Rehan Ghori

TL;DR
This paper presents an AI system with two agents, Truth Sleuth and Trend Bender, designed to fact-check YouTube videos and engage users in discussions to combat misinformation effectively.
Contribution
Introduces a novel AI framework combining claim verification and persuasive comment generation to address misinformation on YouTube.
Findings
High accuracy in fact-checking claims
Effective engagement with users to challenge misinformation
Potential to influence online opinions and foster informed discussions
Abstract
Misinformation poses a significant threat in today's digital world, often spreading rapidly through platforms like YouTube. This paper introduces a novel approach to combating misinformation by developing an AI-powered system that not only fact-checks claims made in YouTube videos but also actively engages users in the comment section and challenge misleading narratives. Our system comprises two main agents: Truth Sleuth and Trend Bender. Truth Sleuth extracts claims from a YouTube video, uses a Retrieval-Augmented Generation (RAG) approach - drawing on sources like Wikipedia, Google Search, Google FactCheck - to accurately assess their veracity and generates a nuanced and comprehensive report. Through rigorous prompt engineering, Trend Bender leverages this report along with a curated corpus of relevant articles to generate insightful and persuasive comments designed to stimulate a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAI in Service Interactions · Misinformation and Its Impacts · Computational and Text Analysis Methods
