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

Infodemiology and Infoveillance (1960) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (2632) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1385) HIV/AIDS/STI Prevention and Care (1269) Vaccination and Immunization in the Digital Age (503) COVID-19 Vaccination (273) Vaccination Sentiment and Anti-Vaccination Infodemiology (105)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53375, first published .
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Public Discourse, User Reactions, and Conspiracy Theories on the X Platform About HIV Vaccines: Data Mining and Content Analysis

Public Discourse, User Reactions, and Conspiracy Theories on the X Platform About HIV Vaccines: Data Mining and Content Analysis

Authors of this article:

Jueman M Zhang1 Author Orcid Image ;   Yi Wang2 Author Orcid Image ;   Magali Mouton3 Author Orcid Image ;   Jixuan Zhang4 Author Orcid Image ;   Molu Shi5 Author Orcid Image
Article Authors Cited by (9) Tweetations (58) Metrics

Journals

  1. Baruh L, Ustaoğlu B, Cemalcilar Z, Kuru O. The effect of thinking styles on belief in conspiracy theories in the context of Covid-19. SN Social Sciences 2025;5(2) View
  2. Ceccon R, Luiz T, Perondi F. Vacina contra a aids na mídia brasileira: análise crítica do discurso. Physis: Revista de Saúde Coletiva 2025;35(1) View
  3. Piao Y, Taguchi N, Harada K, Hirahara K, Takaku Y, Austin J, Lee K, Shiozawa Y, Cheng Y, Inoue Y. Stigma Attitudes Toward HIV/AIDS From 2011 Through 2023 in Japan: Retrospective Study in Japan. Journal of Medical Internet Research 2025;27:e69696 View
  4. Koo G, Kim S, Lin Z, Johnson T, Jung S, Hürdoğan S. HIV Conspiracy Beliefs Among Black LGBQ+ People: The Roles of Public Health Sources, Social Media, Algorithmic Assistants, and Religious Leaders. Health Communication 2025;40(12):2730 View
  5. Li S, Zheng L, Zhong J, Gao X. Advancing mRNA vaccines for infectious diseases: key components, innovations, and clinical progress. Essays in Biochemistry 2025;69(02):109 View
  6. Zhan X, Song M, Shrader C, Forbes C, Algarin A. Decoding HIV Discourse on Social Media: Large-Scale Analysis of 191,972 Tweets Using Machine Learning, Topic Modeling, and Temporal Analysis. Journal of Medical Internet Research 2025;27:e76745 View
  7. Rabin M, Penuela-Wermers S, Sehgal N, Egbe T, Lavery C, Guntuku S, Buttenheim A. Social Media Perspectives on a Future HIV Vaccine: Mixed Methods Analysis. JMIR Infodemiology 2026;6:e82917 View
  8. LIU P, FANG Z, CHEN X, LI S, GU Y. Strategies of HIV-1 Vaccines Based on mRNA Platforms. Progress in Biochemistry and Biophysics 2026;53(4):826 View
  9. Mandell C, Seeley J, Maling S, Nakasujja N, Paul R, Reynolds Z, Passell E, Ritchie C, Hoeppner S, Atwiine F, Saylor D, Greene M, Tindimwebwa E, Tanner J, Olivieri-Mui B, Asiimwe S, Siedner M, Tsai A, Gaugler J. Long-term trends in HIV-related stigma among older adults with and without HIV: a cohort study from Mbarara, Uganda. The Gerontologist 2026;66(7) View