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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Infodemiology and Infoveillance (1349) JMIR Theme Issue: COVID-19 Special Issue (2452) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infectious Diseases (non-STD/STI) (1575) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Outbreak and Pandemic Preparedness and Management (1727)

Published on in Vol 6, No 4 (2020): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24125, first published .
Characterizing Weibo Social Media Posts From Wuhan, China During the Early Stages of the COVID-19 Pandemic: Qualitative Content Analysis

Characterizing Weibo Social Media Posts From Wuhan, China During the Early Stages of the COVID-19 Pandemic: Qualitative Content Analysis

Characterizing Weibo Social Media Posts From Wuhan, China During the Early Stages of the COVID-19 Pandemic: Qualitative Content Analysis

Authors of this article:

Qing Xu1, 2, 3 Author Orcid Image ;   Ziyi Shen4 Author Orcid Image ;   Neal Shah1, 2 Author Orcid Image ;   Raphael Cuomo2, 5 Author Orcid Image ;   Mingxiang Cai2, 3, 4 Author Orcid Image ;   Matthew Brown6 Author Orcid Image ;   Jiawei Li1, 2, 3, 7 Author Orcid Image ;   Tim Mackey1, 2, 3, 7 Author Orcid Image
Article Authors Cited by (27) Tweetations (6) Metrics

Journals

  1. Zhang S, Pian W, Ma F, Ni Z, Liu Y. Characterizing the COVID-19 Infodemic on Chinese Social Media: Exploratory Study. JMIR Public Health and Surveillance 2021;7(2):e26090 View
  2. Cuomo R, Purushothaman V, Li J, Cai M, Mackey T. A longitudinal and geospatial analysis of COVID-19 tweets during the early outbreak period in the United States. BMC Public Health 2021;21(1) View
  3. Zhao Y, Zhu S, Wan Q, Li T, Zou C, Wang H, Deng S. Understanding How and by Whom COVID-19 Misinformation is Spread on Social Media: Coding and Network Analyses. Journal of Medical Internet Research 2022;24(6):e37623 View
  4. Zhang Z, Feng G, Xu J, Zhang Y, Li J, Huang J, Akinwunmi B, Zhang C, Ming W. The Impact of Public Health Events on COVID-19 Vaccine Hesitancy on Chinese Social Media: National Infoveillance Study. JMIR Public Health and Surveillance 2021;7(11):e32936 View
  5. Bastani P, Hakimzadeh S, Bahrami M. Designing a conceptual framework for misinformation on social media: a qualitative study on COVID-19. BMC Research Notes 2021;14(1) View
  6. Chiang Y, Chu M, Lin S, Cai X, Chen Q, Wang H, Li A, Rui J, Zhang X, Xie F, Lee C, Chen T. Capturing the Trajectory of Psychological Status and Analyzing Online Public Reactions During the Coronavirus Disease 2019 Pandemic Through Weibo Posts in China. Frontiers in Psychology 2021;12 View
  7. Chang A, Schulz P, Jiao W, Liu M. Obesity-Related Communication in Digital Chinese News From Mainland China, Hong Kong, and Taiwan: Automated Content Analysis. JMIR Public Health and Surveillance 2021;7(11):e26660 View
  8. Wang H, Sanchuli N. Detrimental Effects of COVID-19 Measures on Mental Health and Social-Economic Disparities. International Journal of Mental Health Promotion 2023;25(1):63 View
  9. Ngai C, Singh R, Lu W, Yao L, Koon A. Exploring the Relationship Between Trust-Building Strategies and Public Engagement on Social Media During the COVID-19 Outbreak. Health Communication 2023;38(10):2141 View
  10. Jiang A, Yang X, Liu Y, Zubiaga A. SWSR: A Chinese dataset and lexicon for online sexism detection. Online Social Networks and Media 2022;27:100182 View
  11. Huan C, Park S, Kang J. Panic Buying: Modeling What Drives it and How it Deteriorates Emotional Well‐being. Family and Consumer Sciences Research Journal 2021;50(2):150 View
  12. Xu Q, Nali M, McMann T, Godinez H, Li J, He Y, Cai M, Lee C, Merenda C, Araojo R, Mackey T. Unsupervised Machine Learning to Detect and Characterize Barriers to Pre-exposure Prophylaxis Therapy: Multiplatform Social Media Study. JMIR Infodemiology 2022;2(1):e35446 View
  13. Wang Z, Qin Y. The Impact of Shanghai Epidemic, China, 2022 on Public Psychology: A Sentiment Analysis of Microblog Users by Data Mining. Sustainability 2022;14(15):9649 View
  14. Lan H, Sha D, Malarvizhi A, Liu Y, Li Y, Meister N, Liu Q, Wang Z, Yang J, Yang C. COVID-Scraper: An Open-Source Toolset for Automatically Scraping and Processing Global Multi-Scale Spatiotemporal COVID-19 Records. IEEE Access 2021;9:84783 View
  15. Teague S, Shatte A, Weller E, Fuller-Tyszkiewicz M, Hutchinson D. Methods and Applications of Social Media Monitoring of Mental Health During Disasters: Scoping Review. JMIR Mental Health 2022;9(2):e33058 View
  16. Fang F, Wang T, Tan S, Chen S, Zhou T, Zhang W, Guo Q, Liu J, Holme P, Lu X. Network Structure and Community Evolution Online: Behavioral and Emotional Changes in Response to COVID-19. Frontiers in Public Health 2022;9 View
  17. Guo Y, Hou Y, Xiang H, Chen L. “Help Us!”: a content analysis of COVID-19 help-seeking posts on Weibo during the first lockdown. BMC Public Health 2023;23(1) View
  18. Laurent-Simpson A. COVID-19 and Masking Disparities: Qualitative Analysis of Trust on the CDC’s Facebook Page. International Journal of Environmental Research and Public Health 2023;20(12):6062 View
  19. Chen Y, Liu X. How Chinese People Expressed Well-Being and Mobility Change During the COVID-19 Pandemic: An Analysis of Microblogs. The American Journal of Psychology 2023;136(2):143 View
  20. Tu C, Li X. Personal Versus Societal Risk: Examining Social Media Influence on Individual and Collective Behaviors for COVID-19 Containment. Social Media + Society 2024;10(1) View
  21. He C, He L, Yang W, Li B. Images Connect Us Together: Navigating a COVID-19 Local Outbreak in China Through Social Media Images. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW1):1 View
  22. Nekoolaltak M, Nasrabadi A, Hatefimoadab N. Introduction and content analysis of "Nurse's voice" WhatsApp group during COVID-19 pandemic: a qualitative study. BMC Digital Health 2024;2(1) View
  23. Qu J, Chen L, Zou H, Hui H, Zheng W, Luo J, Gong Q, Zhang Y, Wen T, Chen Y. Joint-sensemaking, innovation, and communication management during crisis: Evidence from the DCT applications in China. Big Data & Society 2024;11(3) View

Books/Policy Documents

  1. Zhang Q. Human Security in China. View
  2. Birthare P, Raja M, Ramachandran G, Hargreaves C, Birthare S. Structural and Functional Aspects of Biocomputing Systems for Data Processing. View
  3. Bazarkina D, Mikhalevich E, Pashentsev E, Matyashova D. The Palgrave Handbook of Malicious Use of AI and Psychological Security. View