This paper is in the following e-collection/theme issue:

Theme Issue: The New Digital Normal in Health and Medicine (40) JMIR Theme Issue: COVID-19 Special Issue (2554) Outbreak and Pandemic Preparedness and Management (1826) Mass Media/Social Media Communication and Campaigns (574) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Infodemiology and Infoveillance (1558) Vaccination and Immunization in the Digital Age (442) Quality/Credibility of eHealth Information and Trust Issues (654) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42227, first published .
One Year of COVID-19 Vaccine Misinformation on Twitter: Longitudinal Study

One Year of COVID-19 Vaccine Misinformation on Twitter: Longitudinal Study

One Year of COVID-19 Vaccine Misinformation on Twitter: Longitudinal Study

Authors of this article:

Francesco Pierri1, 2 Author Orcid Image ;   Matthew R DeVerna2 Author Orcid Image ;   Kai-Cheng Yang2 Author Orcid Image ;   David Axelrod2 Author Orcid Image ;   John Bryden2 Author Orcid Image ;   Filippo Menczer2 Author Orcid Image
Article Authors Cited by (43) Tweetations (113) Metrics

Journals

  1. Faviez C, Talmatkadi M, Foulquié P, Mebarki A, Schück S, Burgun A, Chen X. Assessment of the Early Detection of Anosmia and Ageusia Symptoms in COVID-19 on Twitter: Retrospective Study. JMIR Infodemiology 2023;3:e41863 View
  2. Ng Q, Ng C, Ong C, Lee D, Liew T. Examining Public Messaging on Influenza Vaccine over Social Media: Unsupervised Deep Learning of 235,261 Twitter Posts from 2017 to 2023. Vaccines 2023;11(10):1518 View
  3. Al-Rawi A, Blackwell B, Zemenchik K, Lee K. Twitter Misinformation Discourses About Vaping: Systematic Content Analysis. Journal of Medical Internet Research 2023;25:e49416 View
  4. Duzen Z, Riveni M, Aktas M. Analyzing the Spread of Misinformation on Social Networks: A Process and Software Architecture for Detection and Analysis. Computers 2023;12(11):232 View
  5. Ahammad T. Identifying hidden patterns of fake COVID-19 news: An in-depth sentiment analysis and topic modeling approach. Natural Language Processing Journal 2024;6:100053 View
  6. Valeanu A, Mihai D, Andrei C, Puscasu C, Ionica A, Hinoveanu M, Predoi V, Bulancea E, Chirita C, Negres S, Marineci C. Identification, analysis and prediction of valid and false information related to vaccines from Romanian tweets. Frontiers in Public Health 2024;12 View
  7. Aşan H. 6 ŞUBAT 2023 KAHRAMANMARAŞ DEPREMI SONRASI AFET YÖNETIMI AÇISINDAN SOSYAL MEDYA HESAPLARININ GÜVENIRLIK ANALIZI VE DEĞERLENDIRILMESI. Akademik Yaklaşımlar Dergisi 2024;15(1 -Deprem Özel Sayısı-):411 View
  8. Wessel D, Pogrebnyakov N. Using Social Media as a Source of Real-World Data for Pharmaceutical Drug Development and Regulatory Decision Making. Drug Safety 2024;47(5):495 View
  9. Fu C, Zhang J, Kang X. True or false? Linguistic and demographic factors influence veracity judgment of COVID-19 rumors. Humanities and Social Sciences Communications 2024;11(1) View
  10. Unlu A, Truong S, Sawhney N, Sivelä J, Tammi T. Long-term assessment of social amplification of risk during COVID-19: challenges to public health agencies amid misinformation and vaccine stance. Journal of Computational Social Science 2024;7(1):809 View
  11. Hong C. Fake news virality: Relational niches and the diffusion of COVID-19 vaccine misinformation. Social Science Research 2024;120:103004 View
  12. Lazarus J, White T, Wyka K, Ratzan S, Rabin K, Larson H, Martinon-Torres F, Kuchar E, Abdool Karim S, Giles-Vernick T, Müller S, Batista C, Myburgh N, Kampmann B, El-Mohandes A. Influence of COVID-19 on trust in routine immunization, health information sources and pandemic preparedness in 23 countries in 2023. Nature Medicine 2024;30(6):1559 View
  13. DeVerna M, Aiyappa R, Pacheco D, Bryden J, Menczer F, Guarino S. Identifying and characterizing superspreaders of low-credibility content on Twitter. PLOS ONE 2024;19(5):e0302201 View
  14. Allen J, Watts D, Rand D. Quantifying the impact of misinformation and vaccine-skeptical content on Facebook. Science 2024;384(6699) View
  15. Asupoto O, Li X, Hemberg J, Emerson A, Black D, Geana M, Wickliffe J, Glenn J, Ramaswamy M, Wurcel A. COVID-19 and influenza vaccine uptake in women with criminal-legal system involvement. Vaccine 2024;42(21):126176 View
  16. Song N, Chen K, Peng J, Zhao Y, Wang J. Misleading and correcting: characteristics of online misinformation and refutations in China during the COVID-19 pandemic. Aslib Journal of Information Management 2024 View
  17. Zainudin J, Mohamad Ali N, Smeaton A, Taha Ijab M. Intervention Strategies for Misinformation Sharing on Social Media: A Bibliometric Analysis. IEEE Access 2024;12:140359 View
  18. Corsi G, Seger E, Ó hÉigeartaigh S. Crowdsourcing the Mitigation of disinformation and misinformation: The case of spontaneous community-based moderation on Reddit. Online Social Networks and Media 2024;43-44:100291 View
  19. Xu J, Wu Z, Wass L, Larson H, Lin L. Mapping global public perspectives on mRNA vaccines and therapeutics. npj Vaccines 2024;9(1) View
  20. Güngör M, Eşiyok K. Sosyal Medyada Dezenformasyonun Yayılması, Motivasyonları ve Düzeltme Zorlukları Üzerine Bir Araştırma. Erciyes İletişim Dergisi 2025;12(1):159 View
  21. Sethi J, Stauss M, Mirioglu S, Floyd L, Woywodt A. Only the Bluesky is the limit: ten tips for a trending #Skytorial. Clinical Kidney Journal 2025;18(2) View
  22. Frisli S. Semi-supervised self-training for COVID-19 misinformation detection: analyzing Twitter data and alternative news media on Norwegian Twitter. Journal of Computational Social Science 2025;8(2) View
  23. Li W, Hua Y, Zhou P, Zhou L, Xu X, Yang J. Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis. Journal of Medical Internet Research 2025;27:e63755 View
  24. Salmi L, Walker J, Delbanco T, DesRoches C. Robert F Kennedy Jr’s proposal to remove public commentary from US health policy is a threat to science and public health. BMJ 2025:r676 View
  25. Pierri F. The Role of AI Agents for Online Information Disorders. XRDS: Crossroads, The ACM Magazine for Students 2025;31(3):24 View
  26. Frisli S. Language, Power, and Misinformation: A Mixed-Method Analysis of COVID-19 Discourses on Norwegian Twitter. Social Media + Society 2025;11(2) View
  27. Summers R, Katz M, Reiter P. Willingness among adults in the United States to receive a combination influenza and COVID-19 vaccine. Human Vaccines & Immunotherapeutics 2025;21(1) View
  28. Larson H, Piatek S. A crisis of credibility: the global cost of US vaccine misinformation. The Lancet 2025;406(10504):668 View
  29. Alfred O, Catalan-Matamoros D, Elias C. Drivers of vaccine mis/disinformation in the media: from personal beliefs to cultural dimensions. Frontiers in Communication 2025;10 View
  30. Seytre B. The difference between COVID-19 vaccine intent and uptake is not associated with exposure to misinformation. Discover Public Health 2025;22(1) View
  31. Winters M, Wilhelm E, Pick J, Nordenstedt H, Gyberg V, Purnat T. Navigating information space: the role of health-care providers in the health-information journey of patients. The Lancet Primary Care 2025;1(3):100040 View
  32. Verdolotti E, Luceri L, Giordano S. Predicting, evaluating, and explaining top misinformation spreaders via archetypal user behavior. Online Social Networks and Media 2025;50:100336 View
  33. Ghisi F, Gotelli M, Solina V, Tonelli F. From Misinformation to Resilient Communication: Strategic Simulation of Social Network Dynamics in the Pharmaceutical Industry. Applied Sciences 2025;15(21):11734 View
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Books/Policy Documents

  1. Lin T, Wang Y, Thier K, Nan X. Communication and Misinformation. View
  2. Sahneh E, Nogara G, DeVerna M, Liu N, Luceri L, Menczer F, Pierri F, Giordano S. Social Networks Analysis and Mining. View

Conference Proceedings

  1. La Gatta V, Wei C, Luceri L, Pierri F, Ferrara E. Companion Proceedings of the ACM Web Conference 2023. Retrieving false claims on Twitter during the Russia-Ukraine conflict View
  2. Gatta V, Luceri L, Fabbri F, Ferrara E. Proceedings of the 34th ACM Conference on Hypertext and Social Media. The Interconnected Nature of Online Harm and Moderation View
  3. Diaz G, Chesñevar C, Estevez E, Maguitman A. Proceedings of the 16th International Conference on Theory and Practice of Electronic Governance. TwiSP: a framework for exploring polarized issues in Twitter View
  4. Su V, Thakur N. 2025 IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC). COVID-19 on YouTube: A Data-Driven Analysis of Sentiment, Toxicity, and Content Recommendations View
  5. Vranić A, Reis J, Damião Í, Almeida P, Gonçalves-Sá J. Proceedings of the 2nd International Workshop on Diffusion of Harmful Content on Online Web. Global Claims: A Multilingual Dataset of Fact-Checked Claims with Veracity, Topic, and Salience Annotations View