Baylish

Baylish is a personal fact-checker designed to help users identify and filter out unsubstantiated claims across various online platforms. Key capabilities include: • Evidence-based claim verification • Conflict of interest detection • Cross-referencing 21 distinct data sources • Scoring system for truth assessment • Shareable verdict reports This tool helps users navigate the information landscape by processing content from YouTube, Instagram, Twitter, TikTok, and other web sources. It can analyze raw text, captions, or transcripts, providing a comprehensive assessment within seconds. Baylish dynamically selects relevant databases, such as PubMed and FDA for health claims, FRED and World Bank for financial advice, or CourtListener for legal information, to ensure a contextually appropriate review. Baylish identifies undisclosed affiliate links, sponsored content, and brand partnerships that might influence content. It also cross-references health claims with clinical databases and evaluates viral takes against independent evidence, rather than engagement metrics alone. The output includes a trust score, flags for conflicts of interest, and a detailed breakdown of evidence for each claim. Ideal for individuals seeking to verify information, researchers needing quick evidence checks, and anyone looking to avoid misinformation and engagement farming tactics online.