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    Automated Fact-Checking for Assisting Human Fact-Checkers

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    2103.07769v2.pdf (305.3Kb)
    Date
    2021
    Author
    Nakov, Preslav
    Corney, David
    Hasanain, Maram
    Alam, Firoj
    Elsayed, Tamer
    Barr�n-Cede�o, Alberto
    Papotti, Paolo
    Shaar, Shaden
    da San Martino, Giovanni
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    Abstract
    The reporting and the analysis of current events around the globe has expanded from professional, editor-lead journalism all the way to citizen journalism. Nowadays, politicians and other key players enjoy direct access to their audiences through social media, bypassing the filters of official cables or traditional media. However, the multiple advantages of free speech and direct communication are dimmed by the misuse of media to spread inaccurate or misleading claims. These phenomena have led to the modern incarnation of the fact-checker - a professional whose main aim is to examine claims using available evidence and to assess their veracity. Here, we survey the available intelligent technologies that can support the human expert in the different steps of her fact-checking endeavor. These include identifying claims worth fact-checking, detecting relevant previously fact-checked claims, retrieving relevant evidence to fact-check a claim, and actually verifying a claim. In each case, we pay attention to the challenges and the potential impact on real-world fact-checking.
    DOI/handle
    http://dx.doi.org/10.48550/arXiv.2103.07769
    http://hdl.handle.net/10576/60881
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    • Computer Science & Engineering [‎2429‎ items ]

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