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

Mass Media/Social Media Communication and Campaigns (574) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Infodemiology and Infoveillance (1558)

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 (10) Tweetations (2) 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 2025;10(3):445 View
  5. Chen J, Wu J, Wang D, Stantic B. Beyond static rankings: A tourist experience-driven approach to measure destination competitiveness. Tourism Management 2025;106:105022 View
  6. Diwanji V, Nguyen N, Coelho M, Burkett M, Chaif R, Okocha M. Pride, not prejudice: a cross-cultural big data analysis of consumer reactions to rainbow-washing in advertising. International Journal of Advertising 2025:1 View
  7. Ji T, Liu Z, Su Z, Xia X, Liu Y, Xie Y, Huang Z, Zhou X, Wang M, Cheng A, Song Q, Shi Y, Shi S, Ailifeire A, He J, Gao Y, Zhao L, Wu L, Xiao D, Wang C. E-Cigarette Narratives of User-Generated Posts on Xiaohongshu in China: Content Analysis. Journal of Medical Internet Research 2025;27:e71173 View
  8. Gu L, Gao X. Exploring self-presentation posts of people with depression: themes, stigma, and identity construction. Frontiers in Public Health 2025;13 View
  9. Lai S, Dong J, Lin Z, Peng Y, Long X, Hao L, Li J, Huang J, He W, Long X, Luo M, Huang K, Ren A. Sentiment analysis based on machine learning for infodemic during the mpox epidemic. Humanities and Social Sciences Communications 2025 View

Conference Proceedings

  1. Xing F, Muzammal S, Shaik S, Almusaylim Z. 2024 IEEE 9th International Conference on Engineering Technologies and Applied Sciences (ICETAS). Using ML Algorithm to Study Chinese Tourist Behaviour in Malaysia View