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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1404) Innovations and Technology for Healthy Eating Education (353) Quality/Credibility of eHealth Information and Trust Issues (408) Digital Health Reviews (951) Food Sciences and Nutrition Engineering (44)

Published on in Vol 22 , No 7 (2020) :July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17296, first published .
Assessing the Credibility and Authenticity of Social Media Content for Applications in Health Communication: Scoping Review

Assessing the Credibility and Authenticity of Social Media Content for Applications in Health Communication: Scoping Review

Assessing the Credibility and Authenticity of Social Media Content for Applications in Health Communication: Scoping Review

Authors of this article:

Eva L Jenkins 1 Author Orcid Image ;   Jasmina Ilicic 2 Author Orcid Image ;   Amy M Barklamb 1 Author Orcid Image ;   Tracy A McCaffrey 1 Author Orcid Image
Article Authors Cited by (21) Tweetations (5) Metrics

Journals

  1. Jenkins E, Ilicic J, Molenaar A, Chin S, McCaffrey T. Strategies to Improve Health Communication: Can Health Professionals Be Heroes?. Nutrients 2020;12(6):1861 View
  2. Alkhamees M, Alsaleem S, Al-Qurishi M, Al-Rubaian M, Hussain A. User trustworthiness in online social networks: A systematic review. Applied Soft Computing 2021;103:107159 View
  3. Mat Dawi N, Namazi H, Maresova P. Predictors of COVID-19 Preventive Behavior Adoption Intention in Malaysia. Frontiers in Psychology 2021;12 View
  4. Chilman N, Morant N, Lloyd-Evans B, Wackett J, Johnson S. Twitter Users’ Views on Mental Health Crisis Resolution Team Care Compared With Stakeholder Interviews and Focus Groups: Qualitative Analysis. JMIR Mental Health 2021;8(6):e25742 View
  5. Micallef D, Brennan L, Parker L, Schivinski B, Jackson M. Where Do Online Games Fit into the Health Behaviour Ecology of Emerging Adults: A Scoping Review. Nutrients 2021;13(8):2895 View
  6. Stecula D, Motta M, Kuru O, Jamieson K. The Great and Powerful Dr. Oz? Alternative Health Media Consumption and Vaccine Views in the United States. Journal of Communication 2022;72(3):374 View
  7. Zhou J, Xiang H, Xie B. Better safe than sorry: a study on older adults’ credibility judgments and spreading of health misinformation. Universal Access in the Information Society 2022 View
  8. PAMUK Ç. Social Media and Rotator Cuff Surgery: An Analysis of Patient Utilization on Instagram. Acibadem Universitesi Saglik Bilimleri Dergisi 2023;14(1) View
  9. Shahid F, Mare S, Vashistha A. Examining Source Effects on Perceptions of Fake News in Rural India. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW1):1 View
  10. Mello S, Glowacki E, Fuentes I, Seabolt J. Communicating COVID-19 Risk on Instagram: A Content Analysis of Official Public Health Messaging During the First Year of the Pandemic. Journal of Health Communication 2023;28(1):38 View
  11. Bian D, Shi Y, Tang W, Li D, Han K, Shi C, Li G, Zhu F. The Influencing Factors of Nutrition and Diet Health Knowledge Dissemination Using the WeChat Official Account in Health Promotion. Frontiers in Public Health 2021;9 View
  12. Zhong B. Going beyond fact-checking to fight health misinformation: A multi-level analysis of the Twitter response to health news stories. International Journal of Information Management 2023;70:102626 View
  13. Dang Q. Research on the Impact of Media Credibility on Risk Perception of COVID-19 and the Sustainable Travel Intention of Chinese Residents Based on an Extended TPB Model in the Post-Pandemic Context. Sustainability 2022;14(14):8729 View
  14. Lim M, Molenaar A, Brennan L, Reid M, McCaffrey T. Young Adults’ Use of Different Social Media Platforms for Health Information: Insights From Web-Based Conversations. Journal of Medical Internet Research 2022;24(1):e23656 View
  15. Meng F, Chen L, Herring P, Wei J. Information and Disseminator Features Influences Online Negative Information Recognition and Dissemination. International Journal of Pattern Recognition and Artificial Intelligence 2023;37(03) View
  16. Willoughby J, Couto L, Kang S, Randall J, Kirkpatrick A, Lee D, Su Y, Booth A, Domgaard S. An Exploratory Content Analysis of the Use of Health Communication Strategies and Presence of Objectification in Fitness Influencer Social Media Posts. Health Communication 2023:1 View
  17. Guo H, Xiao Y, Liao C, Sun J, Xie Y, Zheng Y, Fan G. U-shaped association between online information exchange and app usage frequency: a large-scale survey of China ‘s online young and middle-aged people with pre diabetes and diabetes. Frontiers in Endocrinology 2023;14 View
  18. Molenaar A, Jenkins E, Brennan L, Lukose D, McCaffrey T. The use of sentiment and emotion analysis and data science to assess the language of nutrition-, food- and cooking-related content on social media: a systematic scoping review. Nutrition Research Reviews 2023:1 View
  19. Lang S, Day K, Gallaher E, Jebeile H, Collins C, Baur L, Truby H. Participant recruitment for paediatric research using social media: A practical ‘how‐to’ guide for researchers. Nutrition & Dietetics 2023 View
  20. Eaton M, Probst Y, Smith M. Characterizing the Discourse of Popular Diets to Describe Information Dispersal and Identify Leading Voices, Interaction, and Themes of Mental Health: Social Network Analysis. JMIR Infodemiology 2023;3:e38245 View

Books/Policy Documents

  1. Truman E. Communication and Health. View