Published on in Vol 4, No 2 (2018): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8145, first published .
Predictors of Facebook User Engagement With Health-Related Content for Gay, Bisexual, and Other Men Who Have Sex With Men: Content Analysis

Predictors of Facebook User Engagement With Health-Related Content for Gay, Bisexual, and Other Men Who Have Sex With Men: Content Analysis

Predictors of Facebook User Engagement With Health-Related Content for Gay, Bisexual, and Other Men Who Have Sex With Men: Content Analysis

Journals

  1. Zhang Y, Xia T, Huang L, Yin M, Sun M, Huang J, Ni Y, Ni J. Factors Influencing User Engagement of Health Information Disseminated by Chinese Provincial Centers for Disease Control and Prevention on WeChat: Observational Study. JMIR mHealth and uHealth 2019;7(6):e12245 View
  2. Cao B, Bao H, Oppong E, Feng S, Smith K, Tucker J, Tang W. Digital health for sexually transmitted infection and HIV services: a global scoping review. Current Opinion in Infectious Diseases 2020;33(1):44 View
  3. A. Rahim A, Ibrahim M, A. Salim F, Ariffin M. Health Information Engagement Factors in Malaysia: A Content Analysis of Facebook Use by the Ministry of Health in 2016 and 2017. International Journal of Environmental Research and Public Health 2019;16(4):591 View
  4. Alonso-Cañadas J, Galán-Valdivieso F, Saraite-Sariene L, Caba-Pérez C. Committed to Health: Key Factors to Improve Users’ Online Engagement through Facebook. International Journal of Environmental Research and Public Health 2020;17(6):1814 View
  5. Kite J, Grunseit A, Li V, Vineburg J, Berton N, Bauman A, Freeman B. Generating Engagement on the Make Healthy Normal Campaign Facebook Page: Analysis of Facebook Analytics. JMIR Public Health and Surveillance 2019;5(1):e11132 View
  6. Goedel W, Jin H, Sutten Coats C, Ogunbajo A, Restar A. Predictors of User Engagement With Facebook Posts Generated by a National Sample of Lesbian, Gay, Bisexual, Transgender, and Queer Community Centers in the United States: Content Analysis. JMIR Public Health and Surveillance 2020;6(1):e16382 View
  7. A Rahim A, A Salim F, Ariffin M, Ibrahim M. Health Information Engagement Factors: A Content Analysis of Facebook of Ministry of Health, Malaysia. (Preprint). Interactive Journal of Medical Research 2018 View
  8. Yang E, Kim J, Pennington-Gray L. Social media information and peer-to-peer accommodation during an infectious disease outbreak. Journal of Destination Marketing & Management 2021;19:100538 View
  9. Arseneau M, Backonja U, Litchman M, Karimanfard R, Sheng X, Taylor-Swanson L. #Menopause on Instagram: a mixed-methods study. Menopause 2021;28(4):391 View
  10. Abbas M, Khalil L, Haikal A, Dash M, Dongmo G, Okoroha K. Eliciting Emotion and Action Increases Social Media Engagement: An Analysis of Influential Orthopaedic Surgeons. Arthroscopy, Sports Medicine, and Rehabilitation 2021;3(5):e1301 View
  11. Olamijuwon E, Odimegwu C. Sexuality Education in the Digital Age: Modelling the Predictors of Acceptance and Behavioural Intention to Access and Interact with Sexuality Information on Social Media. Sexuality Research and Social Policy 2022;19(3):1241 View
  12. Karami A, Lundy M, Webb F, Boyajieff H, Zhu M, Lee D. Automatic Categorization of LGBT User Profiles on Twitter with Machine Learning. Electronics 2021;10(15):1822 View
  13. Ma X, Lu J, Liu W. Influencing Factors on Health Information to Improve Public Health Literacy in the Official WeChat Account of Guangzhou CDC. Frontiers in Public Health 2021;9 View
  14. Olamijuwon E, Clifford O, Adjiwanou V. Understanding how young African adults interact with peer-generated sexual health information on Facebook and uncovering strategies for successful organic engagement. BMC Public Health 2021;21(1) View
  15. Loosier P, Renfro K, Carry M, Williams S, Hogben M, Aral S. Reddit on PrEP: Posts About Pre-exposure Prophylaxis for HIV from Reddit Users, 2014–2019. AIDS and Behavior 2022;26(4):1084 View
  16. He L, Yin T, Zheng K. They May Not Work! An evaluation of eleven sentiment analysis tools on seven social media datasets. Journal of Biomedical Informatics 2022;132:104142 View
  17. Sobeczek K, Gujski M, Raciborski F. HPV Vaccination: Polish-Language Facebook Discourse Analysis. International Journal of Environmental Research and Public Health 2022;19(2):914 View
  18. Yin M, Chen S, Pan X, Lu C, Lin X, Wang M, Ni J. Effects of Chinese provincial CDCs WeChat official account article features on user engagement during the COVID-19 pandemic. Journal of Global Health 2023;13 View
  19. Chen J, Lin Y, Tang X, Deng S. Fostering netizens to engage in rumour-refuting messages of government social media: a view of persuasion theory. Behaviour & Information Technology 2023:1 View
  20. Anderson M, Atkinson A, McAuley A, Sumnall H, Glancy M, Bloomfield H, Trayner K. Assessing the reach and engagement with the ‘ How To Save A Life ’ mass media campaign on drug-related death prevention in Scotland. Drugs: Education, Prevention and Policy 2023:1 View
  21. Yin X, Pan J, Xu F. Effects of Wuxi CDC WeChat official account article features on user engagement in health promotion. BMC Public Health 2024;24(1) View

Books/Policy Documents

  1. Cheng C, Espanha R. Advances in Design and Digital Communication II. View