mlsanityData to 7 Oct 2026

CoAID: COVID-19 Healthcare Misinformation Dataset

arXiv 2006.00885 ↗First posted 22 May 2020cs.SI cs.CLcited by 83

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Abstract (arXiv)

As the COVID-19 virus quickly spreads around the world, unfortunately, misinformation related to COVID-19 also gets created and spreads like wild fire. Such misinformation has caused confusion among people, disruptions in society, and even deadly consequences in health problems. To be able to understand, detect, and mitigate such COVID-19 misinformation, therefore, has not only deep intellectual values but also huge societal impacts. To help researchers combat COVID-19 health misinformation, therefore, we present CoAID (Covid-19 heAlthcare mIsinformation Dataset), with diverse COVID-19 healthcare misinformation, including fake news on websites and social platforms, along with users' social engagement about such news. CoAID includes 4,251 news, 296,000 related user engagements, 926 social platform posts about COVID-19, and ground truth labels. The dataset is available at: https://github.com/cuilimeng/CoAID.

Key facts. Cited by 83 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 May 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 17; 2022: 21; 2023: 20; 2024: 7; 2025: 6; 2026: 12.

83 papers.

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  1. 2023Can LLM-Generated Misinformation Be Detected?cited by 173
  2. 2022MDFEND: Multi-domain Fake News Detectioncited by 68
  3. 2022MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Datasetcited by 59
  4. 2023Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformationcited by 51
  5. 2021Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Datacited by 50
  6. 2022Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformationcited by 45
  7. 2022Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learningcited by 41
  8. 2021Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlinescited by 32
  9. 2022Memory-Guided Multi-View Multi-Domain Fake News Detectioncited by 31
  10. 2021The Surprising Performance of Simple Baselines for Misinformation Detectioncited by 27
  11. 2023Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidencecited by 25
  12. 2024Generative Large Language Models in Automated Fact-Checking: A Surveycited by 19
38 more
  1. 2021Combat COVID-19 Infodemic Using Explainable Natural Language Processing Modelscited by 17
  2. 2022Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19cited by 15
  3. 2021Transformer based Automatic COVID-19 Fake News Detection Systemcited by 14
  4. 2022Multi-modal Misinformation Detection: Approaches, Challenges and Opportunitiescited by 14
  5. 2023Weakly Supervised Veracity Classification with LLM-Predicted Credibility Signalscited by 14
  6. 2021DEAP-FAKED: Knowledge Graph based Approach for Fake News Detectioncited by 13
  7. 2021MMCoVaR: Multimodal COVID-19 Vaccine Focused Data Repository for Fake News Detection and a Baseline Architecture for Classificationcited by 12
  8. 2021Dataset of Fake News Detection and Fact Verification: A Surveycited by 11
  9. 2025PCoT: Persuasion-Augmented Chain of Thought for Detecting Fake News and Social Media Disinformationcited by 11
  10. 2021Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detectioncited by 10
  11. 2022Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claimscited by 10
  12. 2024A Guide to Misinformation Detection Data and Evaluationcited by 10
  13. 2021Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemiccited by 9
  14. 2022A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wavecited by 8
  15. 2023ContCommRTD: A Distributed Content-based Misinformation-aware Community Detection System for Real-Time Disaster Reportingcited by 8
  16. 2023MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learningcited by 8
  17. 2021Cross-lingual COVID-19 Fake News Detectioncited by 7
  18. 2022MiDAS: Multi-integrated Domain Adaptive Supervision for Fake News Detectioncited by 7
  19. 2022PHEMEPlus: Enriching Social Media Rumour Verification with External Evidencecited by 6
  20. 2022Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issuescited by 6
  21. 2026The Paradigm Shift: A Comprehensive Survey on Large Vision Language Models for Multimodal Fake News Detectioncited by 6
  22. 2022Explainable Misinformation Detection Across Multiple Social Media Platformscited by 5
  23. 2022Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claimscited by 5
  24. 2021Challenges and Considerations with Code-Mixed NLP for Multilingual Societiescited by 4
  25. 2022The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformationcited by 4
  26. 2022Annotation-Scheme Reconstruction for "Fake News" and Japanese Fake News Datasetcited by 4
  27. 2022MiDe22: An Annotated Multi-Event Tweet Dataset for Misinformation Detectioncited by 4
  28. 2025When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Textcited by 4
  29. 2026All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detectioncited by 4
  30. 2022Evaluating Generalizability of Fine-Tuned Models for Fake News Detectioncited by 3
  31. 2023PANACEA: An Automated Misinformation Detection System on COVID-19cited by 3
  32. 2023Unsupervised Domain-agnostic Fake News Detection using Multi-modal Weak Signalscited by 3
  33. 2023Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Samplingcited by 3
  34. 2024Yesterday's News: Benchmarking Multi-Dimensional Out-of-Distribution Generalization of Misinformation Detection Modelscited by 3
  35. 2026MALicious INTent Dataset and Inoculating LLMs for Enhanced Disinformation Detectioncited by 3
  36. 2021AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Datasetcited by 2
  37. 2021Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learningcited by 2
  38. 2023Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasetscited by 2

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