Weakly supervised veracity classification with LLM-predicted credibility signals

Abstract Credibility signals represent a wide range of heuristics typically used by journalists and fact-checkers to assess the veracity of online content. Automating the extraction of credibility signals presents significant challenges due to the necessity of training high-accuracy, signal-specific...

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Bibliographic Details

Published in:	EPJ Data Science
Main Authors:	João A. Leite, Olesya Razuvayevskaya, Kalina Bontcheva, Carolina Scarton
Format:	Article
Language:	English
Published:	SpringerOpen 2025-02-01
Subjects:	Veracity classification Large language models Weak supervision Credibility signals
Online Access:	https://doi.org/10.1140/epjds/s13688-025-00534-0