#4068. Automated fact-checking: A survey

September 2026publication date
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Journal’s subject area:
Linguistics and Language;
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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 article reviews relevant research on automated fact-checking covering both the claim detection and claim validation components.
Keywords:
Fact-checking; datasets; validation components; online false information

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