mlsanityData to 7 Oct 2026

Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms

arXiv 2007.07996 ↗First posted 15 Jul 2020cs.IR cs.CL cs.LGcited by 41

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Abstract (arXiv)

With the outbreak of the COVID-19 pandemic, people turned to social media to read and to share timely information including statistics, warnings, advice, and inspirational stories. Unfortunately, alongside all this useful information, there was also a new blending of medical and political misinformation and disinformation, which gave rise to the first global infodemic. While fighting this infodemic is typically thought of in terms of factuality, the problem is much broader as malicious content includes not only fake news, rumors, and conspiracy theories, but also promotion of fake cures, panic, racism, xenophobia, and mistrust in the authorities, among others. This is a complex problem that needs a holistic approach combining the perspectives of journalists, fact-checkers, policymakers, government entities, social media platforms, and society as a whole. Taking them into account we define an annotation schema and detailed annotation instructions, which reflect these perspectives. We performed initial annotations using this schema, and our initial experiments demonstrated sizable improvements over the baselines. Now, we issue a call to arms to the research community and beyond to join the fight by supporting our crowdsourcing annotation efforts.

Key facts. Cited by 41 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Jul 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 10; 2022: 14; 2023: 7; 2024: 6; 2025: 2; 2026: 2.

41 papers.

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  1. 2021A Survey on Stance Detection for Mis- and Disinformation Identificationcited by 75
  2. 2024Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Researchcited by 35
  3. 2021Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake Newscited by 23
  4. 2024Can GPT-4 Identify Propaganda? Annotation and Detection of Propaganda Spans in News Articlescited by 21
  5. 2022On the Transformation of Latent Space in Fine-Tuned NLP Modelscited by 19
  6. 2021How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impactcited by 18
  7. 2022A Holistic Framework for Analyzing the COVID-19 Vaccine Debatecited by 18
  8. 2023LAraBench: Benchmarking Arabic AI with Large Language Modelscited by 16
  9. 2021Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detectioncited by 14
  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. 2021On Unifying Misinformation Detectioncited by 10
29 more
  1. 2023Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AIcited by 9
  2. 2022Autonomation, Not Automation: Activities and Needs of European Fact-checkers as a Basis for Designing Human-Centered AI Systemscited by 7
  3. 2022Codes, Patterns and Shapes of Contemporary Online Antisemitism and Conspiracy Narratives -- an Annotation Guide and Labeled German-Language Dataset in the Context of COVID-19cited by 6
  4. 2022Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issuescited by 6
  5. 2024LlamaLens: Specialized Multilingual LLM for Analyzing News and Social Media Contentcited by 6
  6. 2026JailNewsBench: Multi-Lingual and Regional Benchmark for Fake News Generation under Jailbreak Attackscited by 6
  7. 2021A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatarcited by 5
  8. 2024ArMeme: Propagandistic Content in Arabic Memescited by 5
  9. 2022Annotation-Scheme Reconstruction for "Fake News" and Japanese Fake News Datasetcited by 4
  10. 2021Fighting the COVID-19 Infodemic with a Holistic BERT Ensemblecited by 3
  11. 2022ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccinationcited by 3
  12. 2023Towards Detecting Harmful Agendas in News Articlescited by 3
  13. 2023Toxic language detection: a systematic review of Arabic datasetscited by 3
  14. 2024Diverse, but Divisive: LLMs Can Exaggerate Gender Differences in Opinion Related to Harms of Misinformationcited by 3
  15. 2025Entity-aware Cross-lingual Claim Detection for Automated Fact-checkingcited by 3
  16. 2022QCRI's COVID-19 Disinformation Detector: A System to Fight the COVID-19 Infodemic in Social Mediacited by 2
  17. 2022Cross-lingual Transfer Learning for Check-worthy Claim Identification over Twittercited by 2
  18. 2022Multiverse: Multilingual Evidence for Fake News Detectioncited by 2
  19. 2023Leveraging Social Discourse to Measure Check-worthiness of Claims for Fact-checkingcited by 2
  20. 2021Eating Garlic Prevents COVID-19 Infection: Detecting Misinformation on the Arabic Content of Twittercited by 1
  21. 2022Two-Stage Classifier for COVID-19 Misinformation Detection Using BERT: a Study on Indonesian Tweetscited by 1
  22. 2022Z-Index at CheckThat! Lab 2022: Check-Worthiness Identification on Tweet Textcited by 1
  23. 2022Classifying COVID-19 vaccine narrativescited by 1
  24. 2025E-CaTCH: Event-Centric Cross-Modal Attention with Temporal Consistency and Class-Imbalance Handling for Misinformation Detectioncited by 1
  25. 2022Automated clustering of COVID-19 anti-vaccine discourse on Twittercited by 0
  26. 2023Hitachi at SemEval-2023 Task 3: Exploring Cross-lingual Multi-task Strategies for Genre and Framing Detection in Online Newscited by 0
  27. 2023Characterizing the Emotion Carriers of COVID-19 Misinformation and Their Impact on Vaccination Outcomes in India and the United Statescited by 0
  28. 2024Nullpointer at CheckThat! 2024: Identifying Subjectivity from Multilingual Text Sequencecited by 0
  29. 2026ClaimPT: A Portuguese Dataset of Annotated Claims in News Articlescited by 0