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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (822) Infodemiology and Infoveillance (1005) JMIR Theme Issue: COVID-19 Special Issue (2088) Outbreak and Pandemic Preparedness and Management (1454)

Published on in Vol 7 , No 2 (2021) :February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26090, first published .
Characterizing the COVID-19 Infodemic on Chinese Social Media: Exploratory Study

Characterizing the COVID-19 Infodemic on Chinese Social Media: Exploratory Study

Characterizing the COVID-19 Infodemic on Chinese Social Media: Exploratory Study

Authors of this article:

Shuai Zhang 1 Author Orcid Image ;   Wenjing Pian 2 Author Orcid Image ;   Feicheng Ma 1 Author Orcid Image ;   Zhenni Ni 1 Author Orcid Image ;   Yunmei Liu 1 Author Orcid Image
Article Authors Cited by (23) Tweetations (4) Metrics

Journals

  1. Lotto M, Santana Jorge O, Sá Menezes T, Ramalho A, Marchini Oliveira T, Bevilacqua F, Cruvinel T. Psychophysiological Reactions of Internet Users Exposed to Fluoride Information and Disinformation: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(6):e39133 View
  2. Yu H, Yu G, Li Y, Li T. Study on the communication effect of the social livestream of cabin hospitals' construction process during the COVID-19 outbreak. Frontiers in Public Health 2022;10 View
  3. Yoda T, Suksatit B, Tokuda M, Katsuyama H. The Relationship between Sources of COVID-19 Vaccine Information and Willingness to Be Vaccinated: An Internet-Based Cross-Sectional Study in Japan. Vaccines 2022;10(7):1041 View
  4. Zhao S, Hu S, Zhou X, Song S, Wang Q, Zheng H, Zhang Y, Hou Z. The Prevalence, Features, Influencing Factors, and Solutions for COVID-19 Vaccine Misinformation: Systematic Review. JMIR Public Health and Surveillance 2023;9:e40201 View
  5. Liu H, Chen Q, Evans R. How Official Social Media Affected the Infodemic among Adults during the First Wave of COVID-19 in China. International Journal of Environmental Research and Public Health 2022;19(11):6751 View
  6. Su Y, Lee D, Xiao X. “I enjoy thinking critically, and I'm in control”: Examining the influences of media literacy factors on misperceptions amidst the COVID-19 infodemic. Computers in Human Behavior 2022;128:107111 View
  7. Huang Q, Wei L. Explaining education-based difference in systematic processing of COVID-19 information: Insights into global recovery from infodemic. Information Processing & Management 2022;59(4):102989 View
  8. Hu M, Conway M. Perspectives of the COVID-19 Pandemic on Reddit: Comparative Natural Language Processing Study of the United States, the United Kingdom, Canada, and Australia. JMIR Infodemiology 2022;2(2):e36941 View
  9. Kreps S, George J, Watson N, Cai G, Ding K. (Mis)Information on Digital Platforms: Quantitative and Qualitative Analysis of Content From Twitter and Sina Weibo in the COVID-19 Pandemic. JMIR Infodemiology 2022;2(1):e31793 View
  10. Bottemanne H. Théories du complot et COVID-19 : comment naissent les croyances complotistes ?. L'Encéphale 2022;48(5):571 View
  11. Reisz D, Crișan I. Perspectives on Mass Media and Governmental Measures during the 2020 COVID-19 Pandemic in a Romanian Sample of Healthcare Practitioners. Healthcare 2022;10(2):191 View
  12. Sun S, Liu Z, Zhai Y, Wang F. COVID-19 Vaccines on TikTok: A Big-Data Analysis of Entangled Discourses. International Journal of Environmental Research and Public Health 2022;19(20):13287 View
  13. Xu W, Tshimula J, Dubé È, Graham J, Greyson D, MacDonald N, Meyer S. Unmasking the Twitter Discourses on Masks During the COVID-19 Pandemic: User Cluster–Based BERT Topic Modeling Approach. JMIR Infodemiology 2022;2(2):e41198 View
  14. Song C, Yin H, Shi X, Xie M, Yang S, Zhou J, Wang X, Tang Z, Yang Y, Pan J. Spatiotemporal disparities in regional public risk perception of COVID-19 using Bayesian Spatiotemporally Varying Coefficients (STVC) series models across Chinese cities. International Journal of Disaster Risk Reduction 2022;77:103078 View
  15. Li Z, Wang M, Zhong J, Ren Y. Improving the Communication and Credibility of Government Media in Response to Public Health Emergencies: Analysis of Tweets From the WeChat Official Accounts of 10 Chinese Health Commissioners. Frontiers in Public Health 2022;10 View
  16. Zhu Y, Qian P, Su F, Xu J. WeChat users’ debunking strategies in response to COVID-19 conspiracy theories: A mixed-methods study. Convergence: The International Journal of Research into New Media Technologies 2022;28(4):1060 View
  17. Zhou Y, Xu J, Yin M, Zeng J, Ming H, Wang Y. Spatial-Temporal Pattern Evolution of Public Sentiment Responses to the COVID-19 Pandemic in Small Cities of China: A Case Study Based on Social Media Data Analysis. International Journal of Environmental Research and Public Health 2022;19(18):11306 View
  18. Charbonneau E, Mellouli S, Chouikh A, Couture L, Desroches S. The Information Sharing Behaviors of Dietitians and Twitter Users in the Nutrition and COVID-19 Infodemic: Content Analysis Study of Tweets. JMIR Infodemiology 2022;2(2):e38573 View
  19. Gao H, Yin H, Peng L, Wang H. Effectiveness of Social Video Platforms in Promoting COVID-19 Vaccination Among Youth: A Content-Specific Analysis of COVID-19 Vaccination Topic Videos on Bilibili. Risk Management and Healthcare Policy 2022;Volume 15:1621 View

Books/Policy Documents

  1. Andriano-Moore S, Cai Y. Coping with COVID-19, the Mobile Way. View
  2. Zhang S, Meng J, Huang R. Coping with COVID-19, the Mobile Way. View
  3. Su Z. Handbook of Cancer and Immunology. View
  4. Xu H, Curci M, Ek S, Liu P, Li Z, Xu S. Cloud Computing – CLOUD 2021. View