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

Theme Issue 2022: Social Media, Ethics, and COVID-19 Misinformation (45) JMIR Theme Issue: COVID-19 Special Issue (2554) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Infodemiology and Infoveillance (1558) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1542) Quality/Credibility of eHealth Information and Trust Issues (654)

Published on in Vol 24, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37623, first published .
Understanding How and by Whom COVID-19 Misinformation is Spread on Social Media: Coding and Network Analyses

Understanding How and by Whom COVID-19 Misinformation is Spread on Social Media: Coding and Network Analyses

Understanding How and by Whom COVID-19 Misinformation is Spread on Social Media: Coding and Network Analyses

Authors of this article:

Yuehua Zhao1, 2 Author Orcid Image ;   Sicheng Zhu1 Author Orcid Image ;   Qiang Wan1 Author Orcid Image ;   Tianyi Li1 Author Orcid Image ;   Chun Zou1 Author Orcid Image ;   Hao Wang1, 2 Author Orcid Image ;   Sanhong Deng1, 2 Author Orcid Image
Article Authors Cited by (16) Tweetations (11) Metrics

Journals

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  2. Alexander P, Aslakson R, Barreto E, Lee J, Meissen H, Morrow B, Nazer L, Branson R, Mayer K, Napolitano N, Lane-Fall M, Sikora A, John P, Dellinger R, Parker M, Argent A, Boateng A, Green T, Kudchadkar S, Maslove D, Rech M, Sorce L, Tasker R, Buchman T, Checchia P. The Reviewer Academy of the Society of Critical Care Medicine: Key Principles and Strategic Plan. Critical Care Medicine 2023;51(9):1111 View
  3. Luo H, Meng X, Zhao Y, Cai M. Rise of social bots: The impact of social bots on public opinion dynamics in public health emergencies from an information ecology perspective. Telematics and Informatics 2023;85:102051 View
  4. Meng X, Dai C, Zhao Y, Zhou Y. Depth, breadth and structural virality: the influence of emotion, topic, authority and richness on misinformation spread. Library Hi Tech 2024;42(2):447 View
  5. Ren L, Zhang J, Su Z, Lai F, Xiong D. Evolution and governance of online public opinion during COVID-19: a hybrid approach using communication visualization, SIR modeling, and simulation validation. Frontiers in Physics 2024;12 View
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  8. Shen H, Chen Q, Li C. Online profiling of volunteers in public health emergencies: insights from COVID-19 in China. BMC Public Health 2025;25(1) View
  9. Hammad A, Naja A, Nassereddine M, Zhao J. Meniscal Tear Repair: What’s New in the Literature?. Translational Sports Medicine 2025;2025(1) View
  10. Zainudin J, Ali N, Smeaton A, Ijab M. Information Characteristics and Social Media Information Sharing: Insights From Elaboration Likelihood Model (ELM) for Misinformation Mitigation. IEEE Access 2025;13:179233 View
  11. Feng X, Luo J, Yang Y, El Baz D, Shi L. Health Misinformation Detection: Approaches, Challenges and Opportunities. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2025;62 View
  12. Karami A, Zain A, Jamal A. Unveiling the information mirage: a systematic literature review of health misinformation on social media. Journal of Public Health 2025 View
  13. Zhang S, Ke Q, Zhang L, Zhang X, Li A. Human-bot symbiosis and misinformation propagation: Exploring the mechanisms of social bot participation from the perspective of emotional contagion. Computers in Human Behavior 2026;176:108865 View

Books/Policy Documents

  1. Pálsdóttir Á. Human Aspects of IT for the Aged Population. View
  2. Selvakumar R, Babu V. Social Capital in the Age of Online Networking. View
  3. . . View