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arXiv · 2109.11427

Automated Fact-Checking: A Survey

Xia Zeng·Amani S. Abumansour·Arkaitz Zubiaga
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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 Natural Language Processing (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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Xia Zeng, Amani S. Abumansour, Arkaitz Zubiaga. 2021-09-23. Automated Fact-Checking: A Survey. https://arxiv.org/abs/2109.11427

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