mlsanityData to 7 Oct 2026

Fighting an Infodemic: COVID-19 Fake News Dataset

arXiv 2011.03327 ↗First posted 6 Nov 2020cs.CL cs.IR cs.SIcited by 82

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Abstract (arXiv)

Along with COVID-19 pandemic we are also fighting an `infodemic'. Fake news and rumors are rampant on social media. Believing in rumors can cause significant harm. This is further exacerbated at the time of a pandemic. To tackle this, we curate and release a manually annotated dataset of 10,700 social media posts and articles of real and fake news on COVID-19. We benchmark the annotated dataset with four machine learning baselines - Decision Tree, Logistic Regression, Gradient Boost, and Support Vector Machine (SVM). We obtain the best performance of 93.46% F1-score with SVM. The data and code is available at: https://github.com/parthpatwa/covid19-fake-news-dectection

Key facts. Cited by 82 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Nov 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 36; 2022: 13; 2023: 12; 2024: 8; 2025: 8; 2026: 5.

82 papers.

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  1. 2021X-FACT: A New Benchmark Dataset for Multilingual Fact Checkingcited by 90
  2. 2021A Survey on Multimodal Disinformation Detectioncited by 47
  3. 2022Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformationcited by 45
  4. 2024Evidence-Driven Retrieval Augmented Response Generation for Online Misinformationcited by 32
  5. 2021COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learningcited by 26
  6. 2023Factify 2: A Multimodal Fake News and Satire News Datasetcited by 23
  7. 2024Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMscited by 23
  8. 2023Emotion Detection for Misinformation: A Reviewcited by 20
  9. 2021Combat COVID-19 Infodemic Using Explainable Natural Language Processing Modelscited by 17
  10. 2021Evaluating Deep Learning Approaches for Covid19 Fake News Detectioncited by 16
  11. 2021Twitter-COMMs: Detecting Climate, COVID, and Military Multimodal Misinformationcited by 16
  12. 2023FakeGPT: Fake News Generation, Explanation and Detection of Large Language Modelscited by 16
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  1. 2021Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detectioncited by 15
  2. 2021Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detectioncited by 15
  3. 2022Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19cited by 15
  4. 2021Transformer based Automatic COVID-19 Fake News Detection Systemcited by 14
  5. 2021Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensemblescited by 14
  6. 2021Multimodal Fake News Detectioncited by 14
  7. 2021MMCoVaR: Multimodal COVID-19 Vaccine Focused Data Repository for Fake News Detection and a Baseline Architecture for Classificationcited by 12
  8. 2022Continuous Detection, Rapidly React: Unseen Rumors Detection based on Continual Prompt-Tuningcited by 12
  9. 2021Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in Englishcited by 11
  10. 2021Model Generalization on COVID-19 Fake News Detectioncited by 11
  11. 2021Dataset of Fake News Detection and Fact Verification: A Surveycited by 11
  12. 2021A Heuristic-driven Ensemble Framework for COVID-19 Fake News Detectioncited by 10
  13. 2024TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detectioncited by 10
  14. 2022Evaluation of Fake News Detection with Knowledge-Enhanced Language Modelscited by 9
  15. 2023MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learningcited by 8
  16. 2023Findings of Factify 2: Multimodal Fake News Detectioncited by 7
  17. 2021Combating Hostility: Covid-19 Fake News and Hostile Post Detection in Social Mediacited by 6
  18. 2021Fake News Detection System using XLNet model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Taskcited by 6
  19. 2024FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detectioncited by 6
  20. 2021Constraint 2021: Machine Learning Models for COVID-19 Fake News Detection Shared Taskcited by 5
  21. 2021A transformer based approach for fighting COVID-19 fake newscited by 5
  22. 2021A Heuristic-driven Uncertainty based Ensemble Framework for Fake News Detection in Tweets and News Articlescited by 5
  23. 2021Mitigation of Diachronic Bias in Fake News Detection Datasetcited by 5
  24. 2023Characterizing Information Seeking Events in Health-Related Social Discoursecited by 5
  25. 2021Challenges and Considerations with Code-Mixed NLP for Multilingual Societiescited by 4
  26. 2022The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformationcited by 4
  27. 2022Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixupcited by 4
  28. 2023A Revisit of Fake News Dataset with Augmented Fact-checking by ChatGPTcited by 4
  29. 2025Fake News Detection After LLM Laundering: Measurement and Explanationcited by 4
  30. 2021TUDublin team at Constraint@AAAI2021 -- COVID19 Fake News Detectioncited by 3
  31. 2022The use of Data Augmentation as a technique for improving neural network accuracy in detecting fake news about COVID-19cited by 3
  32. 2025DRES: Fake news detection by dynamic representation and ensemble selectioncited by 3
  33. 2025A Comprehensive Dataset for Human vs. AI Generated Text Detectioncited by 3
  34. 2021Identification of COVID-19 related Fake News via Neural Stackingcited by 2
  35. 2021Hostility Detection and Covid-19 Fake News Detection in Social Mediacited by 2
  36. 2021AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Datasetcited by 2
  37. 2022A Comparative Study on COVID-19 Fake News Detection Using Different Transformer Based Modelscited by 2
  38. 2022CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets using Deep Learning Modelscited by 2

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