Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20558, first published .
Factors Associated With Influential Health-Promoting Messages on Social Media: Content Analysis of Sina Weibo

Factors Associated With Influential Health-Promoting Messages on Social Media: Content Analysis of Sina Weibo

Factors Associated With Influential Health-Promoting Messages on Social Media: Content Analysis of Sina Weibo

Journals

  1. Yin F, Wu Z, Xia X, Ji M, Wang Y, Hu Z. Unfolding the Determinants of COVID-19 Vaccine Acceptance in China. Journal of Medical Internet Research 2021;23(1):e26089 View
  2. 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
  3. Jiang M, Zhang Z, Kang L, Liao J, Wang S, Lv Y, Zhou X, Hou X. Textual Features and Risk Preference Effects on Mental Health Education Among Teenager Students in Chongqing, China. Frontiers in Psychology 2022;13 View
  4. 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
  5. Bai G, Fu K, Fu W, Liu G. Quality of Internet Videos Related to Pediatric Urology in Mainland China: A Cross-Sectional Study. Frontiers in Public Health 2022;10 View
  6. Xu J, Guo D, Xu J, Luo C. How Do Multiple Actors Conduct Science Communication About Omicron on Weibo: A Mixed-Method Study. Media and Communication 2023;11(1):306 View
  7. Zhang L, Wang X, Wang J, Yang P, Zhou P, Liao G. A study on predicting crisis information dissemination in epidemic-level public health events. Journal of Safety Science and Resilience 2023;4(3):253 View