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Fact-checking based fake news detection: a review

arXiv 2401.01717 ↗First posted 3 Jan 2024cs.CVcited by 0

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Abstract (arXiv)

This paper reviews and summarizes the research results on fact-based fake news from the perspectives of tasks and problems, algorithm strategies, and datasets. First, the paper systematically explains the task definition and core problems of fact-based fake news detection. Second, the paper summarizes the existing detection methods based on the algorithm principles. Third, the paper analyzes the classic and newly proposed datasets in the field, and summarizes the experimental results on each dataset. Finally, the paper summarizes the advantages and disadvantages of existing methods, proposes several challenges that methods in this field may face, and looks forward to the next stage of research. It is hoped that this paper will provide reference for subsequent work in the field.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 51 of its 70 references that are in the map. First posted on arXiv 3 Jan 2024.

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References · 51

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38 more
  1. 2021Automated Fact-Checking for Assisting Human Fact-Checkerscited by 144
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