"ClaimBuster, a fact-checking platform, uses natural language processing and supervised learning to detect important factual claims in political discourses. The claim spotting model is built using a human-labeled dataset of check-worthy factual claims from the U.S. general election debate transcripts." Read academic paper here.
"The research and development of ClaimBuster has been partially supported by National Science Foundation grants 1408928, 1565699, 1719054, a Knight Prototype Fund from The John S. and James L. Knight Foundation, a subaward from the Duke Tech & Check Cooperative (funded by The Knight Foundation, the Facebook Journalism Project and the Craig Newmark Foundation), and the University of Texas at Arlington."
Submitted by: Evangéline de Bourgoing