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

Theme Issue: Social Media, Ethics, and COVID-19 Misinformation (37) JMIR Theme Issue: COVID-19 Special Issue (2461) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Infodemiology and Infoveillance (1369) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Quality/Credibility of eHealth Information and Trust Issues (544)

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 (9) Tweetations (11) Metrics

Yuehua Zhao   1, 2 , PhD ;   Sicheng Zhu   1 , BA ;   Qiang Wan   1 , BA ;   Tianyi Li   1 , BA ;   Chun Zou   1 , BA ;   Hao Wang   1, 2 , PhD ;   Sanhong Deng   1, 2 , PhD

1 School of Information Management, Nanjing University, Nanjing, China

2 Jiangsu Key Laboratory of Data Engineering and Knowledge Service, Nanjing University, Nanjing, China

Corresponding Author:

  • Sanhong Deng, PhD
  • School of Information Management
  • Nanjing University
  • 163 Xianlin Road
  • Qixia District
  • Nanjing, 210023
  • China
  • Phone: 86 2589685996
  • Email: sanhong@nju.edu.cn