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

Islam Eldifrawi, Shengrui Wang, Amine Trabelsi


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, proposinga comprehensive taxonomy and presenting the evolution of research in that landscape. A comparative analysis of methodologies and futuredirections for improving fact-checking explainability are also discussed.
Anthology ID:
2024.acl-long.361
Volume:
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
August
Year:
2024
Address:
Bangkok, Thailand
Editors:
Lun-Wei Ku, Andre Martins, Vivek Srikumar
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
6679–6692
Language:
URL:
https://aclanthology.org/2024.acl-long.361
DOI:
Bibkey:
Cite (ACL):
Islam Eldifrawi, Shengrui Wang, and Amine Trabelsi. 2024. Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 6679–6692, Bangkok, Thailand. Association for Computational Linguistics.
Cite (Informal):
Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches (Eldifrawi et al., ACL 2024)
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PDF:
https://aclanthology.org/2024.acl-long.361.pdf