Published on in Vol 7, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24429, first published .
General Audience Engagement With Antismoking Public Health Messages Across Multiple Social Media Sites: Comparative Analysis

General Audience Engagement With Antismoking Public Health Messages Across Multiple Social Media Sites: Comparative Analysis

General Audience Engagement With Antismoking Public Health Messages Across Multiple Social Media Sites: Comparative Analysis

Journals

  1. Lin S, Cheng X, Zhang J, Yannam J, Barnes A, Koch J, Hayes R, Gimm G, Zhao X, Purohit H, Xue H. Social Media Data Mining of Antitobacco Campaign Messages: Machine Learning Analysis of Facebook Posts. Journal of Medical Internet Research 2023;25:e42863 View
  2. Ceretti E, Covolo L, Cappellini F, Nanni A, Sorosina S, Beatini A, Taranto M, Gasparini A, De Castro P, Brusaferro S, Gelatti U. Evaluating the Effectiveness of Internet-Based Communication for Public Health: Systematic Review. Journal of Medical Internet Research 2022;24(9):e38541 View
  3. DePaula N, Hagen L, Roytman S, Alnahass D. Platform Effects on Public Health Communication: A Comparative and National Study of Message Design and Audience Engagement Across Twitter and Facebook. JMIR Infodemiology 2022;2(2):e40198 View
  4. Williams N, Haines T, Williams C, Bowles K, Hill K. Age Differences in Preferred Methods of Obtaining and Understanding Health Related Information During the COVID-19 Pandemic in Australia. Frontiers in Public Health 2022;10 View
  5. Cadix E, Le Denmat V, Chapalain D, Pougnet L, Fortin C, Lodde B, Pougnet R. Action « hôpital et campus sans tabac » : évaluation à mi-parcours des connaissances de l’action et des besoins exprimés par les étudiants et les professionnels. Revue des Maladies Respiratoires 2022;39(10):832 View
  6. Eppes E, Augustyn M, Gross S, Vernon P, Caulfield L, Paige D. Engagement With and Acceptability of Digital Media Platforms for Use in Improving Health Behaviors Among Vulnerable Families: Systematic Review. Journal of Medical Internet Research 2023;25:e40934 View
  7. Seiter C, Zhao X, Rossheim M. Valence of YouTube Comments and College Student Reactions Towards Electronic Nicotine Product Counter-Marketing Messages. Health Communication 2024;39(3):592 View
  8. Kite J, Chan L, MacKay K, Corbett L, Reyes-Marcelino G, Nguyen B, Bellew W, Freeman B. A Model of Social Media Effects in Public Health Communication Campaigns: Systematic Review. Journal of Medical Internet Research 2023;25:e46345 View
  9. Rejeb A, Rejeb K, Appolloni A, Treiblmaier H. Foundations and knowledge clusters in TikTok (Douyin) research: evidence from bibliometric and topic modelling analyses. Multimedia Tools and Applications 2023 View
  10. Griffin L, Nolan G, Haigh A, Condon H, O'Hagan E, McDonnell P, Kane A, Ciuti S. How can we tackle interruptions to human–wildlife feeding management? Adding media campaigns to the wildlife manager's toolbox. People and Nature 2023;5(4):1299 View
  11. Luederitz C, Animesh A, Rohrbacher K, Li T, Piper A, Potvin C, Etzion D. Non-monetary narratives motivate businesses to engage with climate change. Sustainability Science 2023;18(6):2649 View
  12. Chan L, Freeman B, Hughes C, Richmond K, Dibbs J, O’Hara B. Exploring motivations for engagement with the Healthy Lunch Box campaign on social media. Health Promotion International 2023;38(6) View
  13. Onyeaka H, Chido-Amajuoyi O, Daskalakis E, Deary E, Boardman A, Basiru T, Muoghalu C, Uwandu Q, Baiden P, Nkemjika S, Aneni K, Amonoo H. Associations between Health-Related Use of Social Media and Positive Lifestyle Behaviors: Findings from a Representative Sample of US Adult Smokers. Substance Use & Misuse 2024;59(4):527 View
  14. Gülpınar G, Uzun M, Iqbal A, Anderson C, Syed W, Al-Rawi M. A model of purchase intention of complementary and alternative medicines: the role of social media influencers’ endorsements. BMC Complementary Medicine and Therapies 2023;23(1) View
  15. Xie Z, Deng S, Liu P, Lou X, Xu C, Li D. Characterizing Anti-Vaping Posts for Effective Communication on Instagram Using Multimodal Deep Learning. Nicotine and Tobacco Research 2024;26(Supplement_1):S43 View

Books/Policy Documents

  1. Bautista K, Vite-León V, Poggi-Parodi C. Communication and Applied Technologies. View