Weakly supervised veracity classification with LLM-predicted credibility signals

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 extracto...

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Bibliographic Details
Published in:EPJ data science 2025-12, Vol.14 (1), p.16-23, Article 16
Main Authors: Leite, João A., Razuvayevskaya, Olesya, Bontcheva, Kalina, Scarton, Carolina
Format: Article
Language:English
Subjects:
Ablation
Complexity
Computer Appl. in Social and Behavioral Sciences
Computer Science
Credibility
Credibility signals
Data-driven Science
Datasets
Large language models
Modeling and Theory Building
Supervision
Training
Veracity classification
Weak supervision
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