Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches

July 09, 2024 ยท The Cartographer ยท ๐Ÿ› Annual Meeting of the Association for Computational Linguistics

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures an"

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Authors Islam Eldifrawi, Shengrui Wang, Amine Trabelsi arXiv ID 2407.12853 Category cs.CL: Computation & Language Cross-listed cs.AI, cs.IR, cs.LG Citations 15 Venue Annual Meeting of the Association for Computational Linguistics Last Checked 23 hours ago
Abstract
Automated Fact-Checking (AFC) is the automated verification of claim accuracy. AFC is crucial in discerning truth from misinformation, especially given the huge amounts of content are generated online daily. Current research focuses on predicting claim veracity through metadata analysis and language scrutiny, with an emphasis on justifying verdicts. This paper surveys recent methodologies, proposing a comprehensive taxonomy and presenting the evolution of research in that landscape. A comparative analysis of methodologies and future directions for improving fact-checking explainability are also discussed.
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