Weakly supervised veracity classification with LLM-predicted credibility signals.

• Tác giả: Kalina Bontcheva, João A Leite, Olesya Razuvayevskaya, Carolina Scarton
• Ngôn ngữ: eng
• Thông tin xuất bản: Germany : EPJ data science , 2025
• Bộ sưu tập: NCBI
• ID: 664128

Tóm tắt

UNLABELLED: 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 extractors, coupled with the lack of sufficiently large annotated datasets. This paper introduces Pastel ( SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1140/epjds/s13688-025-00534-0.