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

Mass Media/Social Media Communication and Campaigns (450) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1573) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) Infodemiology and Infoveillance (1278)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34132, first published .
Comparison of the Users’ Attitudes Toward Cannabidiol on Social Media Platforms: Topic Modeling Study

Comparison of the Users’ Attitudes Toward Cannabidiol on Social Media Platforms: Topic Modeling Study

Comparison of the Users’ Attitudes Toward Cannabidiol on Social Media Platforms: Topic Modeling Study

Authors of this article:

Yongjie Li1 Author Orcid Image ;   Xiangyu Yan1 Author Orcid Image ;   Zekun Wang1 Author Orcid Image ;   Mingchang Ma2 Author Orcid Image ;   Bo Zhang1 Author Orcid Image ;   Zhongwei Jia1, 3, 4 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Ni C, Lundblad R, Dykeman C, Bolante R, Łabuński W. Content analysis of psychological first aid training manuals via topic modelling. European Journal of Psychotraumatology 2023;14(2) View
  2. Ge Y, Yao D, Ung C, Xue Y, Li M, Lin J, Hu H, Lai Y. Digital Medical Information Services Delivered by Pharmaceutical Companies via WeChat: Qualitative Analytical Study. Journal of Medical Internet Research 2023;25:e43812 View
  3. Qin Z, Ng S, Wu W, Zhang S. What Chinese Women Seek in Mental Health Apps: Insights from Analyzing Xiaohongshu User Posts during the COVID-19 Pandemic. Healthcare 2024;12(13):1297 View
  4. Pastina J, Abel M, Bollinger L, Best S. Topical Cannabidiol Application May Not Attenuate Muscle Soreness or Improve Performance: A Randomized, Double-Blinded, Placebo-Controlled Pilot Study. Cannabis and Cannabinoid Research 2024 View