Published on in Vol 2, No 1 (2022): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31793, first published .
(Mis)Information on Digital Platforms: Quantitative and Qualitative Analysis of Content From Twitter and Sina Weibo in the COVID-19 Pandemic

(Mis)Information on Digital Platforms: Quantitative and Qualitative Analysis of Content From Twitter and Sina Weibo in the COVID-19 Pandemic

(Mis)Information on Digital Platforms: Quantitative and Qualitative Analysis of Content From Twitter and Sina Weibo in the COVID-19 Pandemic

Journals

  1. Bizzotto N, Schulz P, de Bruijn G. The “Loci” of Misinformation and Its Correction in Peer- and Expert-Led Online Communities for Mental Health: Content Analysis. Journal of Medical Internet Research 2023;25:e44656 View
  2. Bhandoria G, Bilir E, Uwins C, Vidal-Alaball J, Fuster-Casanovas A, Ahmed W. Impact of a New Gynecologic Oncology Hashtag During Virtual-Only ASCO Annual Meetings: An X (Twitter) Social Network Analysis. JMIR Medical Education 2024;10:e45291 View
  3. Ahmad H, Azhar A, Algosaibi A, Hussain J. Understanding Fluctuations in Public Opinion toward COVID-19 Vaccines: Insights from Social Media Analysis. Sage Open 2024;14(4) View
  4. Shi L, Li M. One AI world, one dream? Cross-platform comparative study of sociotechnical imaginaries of artificial intelligence on X and Weibo. Global Media and China 2025 View

Conference Proceedings

  1. Song S, Purnama A, Arafah B. International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023). The research of China's COVID-19 reporting on international social platforms: based on Xinhua news agency's Twitter View