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

JMIR Theme Issue: COVID-19 Special Issue (2452) COVID-19 Vaccination (146) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Vaccination and Immunization in the Digital Age (374) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Infodemiology and Infoveillance (1349)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45051, first published .
COVID-19 Vaccine–Related Information on the WeChat Public Platform: Topic Modeling and Content Analysis

COVID-19 Vaccine–Related Information on the WeChat Public Platform: Topic Modeling and Content Analysis

COVID-19 Vaccine–Related Information on the WeChat Public Platform: Topic Modeling and Content Analysis

Authors of this article:

Xiaoqian Wu1 Author Orcid Image ;   Ziyu Li1 Author Orcid Image ;   Lin Xu2 Author Orcid Image ;   Pengfei Li3 Author Orcid Image ;   Ming Liu1 Author Orcid Image ;   Cheng Huang1 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Liu M, Yuan S, Li B, Zhang Y, Liu J, Guan C, Chen Q, Ruan J, Xie L. Chinese Public Attitudes and Opinions on Health Policies During Public Health Emergencies: Sentiment and Topic Analysis. Journal of Medical Internet Research 2024;26:e58518 View

Books/Policy Documents

  1. . Transformative Impacts of AI in Management. View