mlsanityData to 7 Oct 2026

Dataset of Fake News Detection and Fact Verification: A Survey

arXiv 2111.03299 ↗First posted 5 Nov 2021cs.LG cs.CL cs.CYcited by 11

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Abstract (arXiv)

The rapid increase in fake news, which causes significant damage to society, triggers many fake news related studies, including the development of fake news detection and fact verification techniques. The resources for these studies are mainly available as public datasets taken from Web data. We surveyed 118 datasets related to fake news research on a large scale from three perspectives: (1) fake news detection, (2) fact verification, and (3) other tasks; for example, the analysis of fake news and satire detection. We also describe in detail their utilization tasks and their characteristics. Finally, we highlight the challenges in the fake news dataset construction and some research opportunities that address these challenges. Our survey facilitates fake news research by helping researchers find suitable datasets without reinventing the wheel, and thereby, improves fake news studies in depth.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 89 of its 235 references that are in the map. First posted on arXiv 5 Nov 2021.

Builds on

89 of 235 references.

References · 89

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38 more
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Cited by year

Citing papers per year: 2022: 3; 2023: 2; 2024: 4; 2025: 2.

11 papers.

  1. 2023Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformationcited by 51
  2. 2025Poly-FEVER: A Multilingual Fact Verification Benchmark for Hallucination Detection in Large Language Modelscited by 7
  3. 2022CsFEVER and CTKFacts: Acquiring Czech data for fact verificationcited by 6
  4. 2022Methods of Informational Trends Analytics and Fake News Detection on Twittercited by 6
  5. 2025Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detectioncited by 6
  6. 2024MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Modelscited by 5
  7. 2022Annotation-Scheme Reconstruction for "Fake News" and Japanese Fake News Datasetcited by 4
  8. 2024Fake News Detection: It's All in the Data!cited by 4
  9. 2024Fighting Fire with Fire: Adversarial Prompting to Generate a Misinformation Detection Datasetcited by 3
  10. 2024Unveiling the Potential of BERTopic for Multilingual Fake News Analysis -- Use Case: Covid-19cited by 1
  11. 2023A Comparative Analysis of the COVID-19 Infodemic in English and Chinese: Insights from Social Media Textual Datacited by 0