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Automated Fact-Checking: A Survey (2109.11427v1)

Published 23 Sep 2021 in cs.CL

Abstract: As online false information continues to grow, automated fact-checking has gained an increasing amount of attention in recent years. Researchers in the field of NLP have contributed to the task by building fact-checking datasets, devising automated fact-checking pipelines and proposing NLP methods to further research in the development of different components. This paper reviews relevant research on automated fact-checking covering both the claim detection and claim validation components.

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Authors (3)
  1. Xia Zeng (8 papers)
  2. Amani S. Abumansour (3 papers)
  3. Arkaitz Zubiaga (88 papers)
Citations (86)