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Supernotes: Driving Consensus in Crowd-Sourced Fact-Checking

AI-driven approach to improve X’s Community Notes where for 91% of posts with proposed notes, no notes achieve sufficient support. The system generates LLM-created fact-checking notes synthesizing information from multiple existing notes, with a scoring model identifying candidates most likely to gain diverse user support. In testing, participants rated Supernotes significantly more helpful and preferred them 75.2% of the time over best existing notes.

Research
Creators Soham De, Michiel A. Bakker, Jay Baxter and Martin Saveski
Year 2024