1. Motivation During meetings, participants frequently share data, statistics, market claims, history and technical information that may require verification. Currently, users must either web search during meetings or manually fact-check statements after meetings, creating delays, distractions and potential mistakes. A built-in fact-checking feature would enable immediate verification of transcripts, enhancing decision-making quality and meeting credibility. 2. Feature Request Implement a Fact-Checker Button that generates lightweight verification reports for recorded meetings. When activated, the system would: Extract verifiable claims from transcripts (dates, statistics, historical facts, scientific statements) Cross-reference information against reliable public databases Produce a brief report highlighting supported, refuted, or conflicting claims Display confidence levels with source citations The report should be concise and actionable, not exhaustive like academic fact-checking tools. See attached example below 3. Implementation Integrate a backend evidence-based verification system using free public data sources, for instance: CIA World Factbook ( github.com/factbook ) for geographic and demographic data Semantic Scholar API ( github.com/JackKuo666/semanticscholar-MCP-Server ) for scientific claims ClaimAI framework ( github.com/BharathxD/ClaimeAI ) for claim extraction and verification architecture The system would process transcripts post-recording, identify factual statements using NLP, query relevant databases, and generate a summary report showing verification status (Supported/Refuted/Conflicting) with percentage confidence and source links. This feature would differentiate Hedy as a professional tool for high-stakes meetings where accuracy and ethics matters, avoiding misinformation.
