How to evaluate the degree of confidence in factual claims? How to convey this to participants or among participants?

Study by Kriplean et al. (2014) explores integrating on-demand fact-checking into public dialogue through a crowdsourced voters’ guide.

Taiwan’s Cofacts, a fact-checking platform built through civic collaboration.

Research examining how crowdsourced annotations combined with algorithmic selection can combat misinformation, developing a matrix-factorization algorithm identifying annotations that appeal broadly across heterogeneous user groups through bridging-based ranking. Results showed algorithmically-se...

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...

X’s (formerly Twitter’s) Community Notes is a crowdsourced fact-checking feature where users can add context to potentially misleading posts, with notes appearing when rated helpful by contributors from diverse perspectives.