mlsanityData to 13 Oct 2026

Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository

arXiv 2002.00837 ↗First posted 27 Jan 2020cs.SI cs.LG stat.MLcited by 25

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Abstract (arXiv)

Nowadays, Internet is a primary source of attaining health information. Massive fake health news which is spreading over the Internet, has become a severe threat to public health. Numerous studies and research works have been done in fake news detection domain, however, few of them are designed to cope with the challenges in health news. For instance, the development of explainable is required for fake health news detection. To mitigate these problems, we construct a comprehensive repository, FakeHealth, which includes news contents with rich features, news reviews with detailed explanations, social engagements and a user-user social network. Moreover, exploratory analyses are conducted to understand the characteristics of the datasets, analyze useful patterns and validate the quality of the datasets for health fake news detection. We also discuss the novel and potential future research directions for the health fake news detection.

Key facts. Cited by 25 papers in the map (data through 13 Oct 2026). First posted on arXiv 27 Jan 2020.

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2021: 7; 2022: 9; 2023: 0; 2024: 5; 2025: 3; 2026: 1.

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  1. 2024Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generationcited by 90
  2. 2022MDFEND: Multi-domain Fake News Detectioncited by 68
  3. 2021SWSR: A Chinese Dataset and Lexicon for Online Sexism Detectioncited by 42
  4. 2022Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfercited by 19
  5. 2025LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendationcited by 19
  6. 2022Modeling Information Change in Science Communication with Semantically Matched Paraphrasescited by 14
  7. 2021DEAP-FAKED: Knowledge Graph based Approach for Fake News Detectioncited by 13
  8. 2024MCFEND: A Multi-source Benchmark Dataset for Chinese Fake News Detectioncited by 12
  9. 2021Dataset of Fake News Detection and Fact Verification: A Surveycited by 11
  10. 2022Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claimscited by 10
  11. 2021Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Informationcited by 8
  12. 2022PHEMEPlus: Enriching Social Media Rumour Verification with External Evidencecited by 6
13 more
  1. 2022Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issuescited by 6
  2. 2022Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claimscited by 5
  3. 2022Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinementcited by 4
  4. 2022Scope of Pre-trained Language Models for Detecting Conflicting Health Informationcited by 4
  5. 2025Unlearning Inversion Attacks for Graph Neural Networkscited by 4
  6. 2024Tell Me Why: Explainable Public Health Fact-Checking with Large Language Modelscited by 3
  7. 2021Identifying COVID-19 Fake News in Social Mediacited by 1
  8. 2021SOMPS-Net : Attention based social graph framework for early detection of fake health newscited by 1
  9. 2025From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformationcited by 1
  10. 2021ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Informationcited by 0
  11. 2024The Veracity Problem: Detecting False Information and its Propagation on Online Social Media Networkscited by 0
  12. 2024MAPX: An explainable model-agnostic framework for the detection of false information on social media networkscited by 0
  13. 2026Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerabilitycited by 0