@inproceedings{eldifrawi-etal-2024-automated,
    title = "Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches",
    author = "Eldifrawi, Islam  and
      Wang, Shengrui  and
      Trabelsi, Amine",
    editor = "Ku, Lun-Wei  and
      Martins, Andre  and
      Srikumar, Vivek",
    booktitle = "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = aug,
    year = "2024",
    address = "Bangkok, Thailand",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2024.acl-long.361/",
    doi = "10.18653/v1/2024.acl-long.361",
    pages = "6679--6692",
    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."
}