#4068. Automated fact-checking: A survey
September 2026 | publication date |
Proposal available till | 22-05-2025 |
4 total number of authors per manuscript | 0 $ |
The title of the journal is available only for the authors who have already paid for |
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Journal’s subject area: |
Linguistics and Language; |
Places in the authors’ list:
1 place - free (for sale)
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4 place - free (for sale)
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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