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

Quality/Credibility of eHealth Information and Trust Issues (531)

Published on in Vol 14, No 1 (2012): Jan-Feb

HealthTrust: A Social Network Approach for Retrieving Online Health Videos

HealthTrust: A Social Network Approach for Retrieving Online Health Videos

HealthTrust: A Social Network Approach for Retrieving Online Health Videos

Authors of this article:

Luis Fernandez-Luque1, 2 Author Orcid Image ;   Randi Karlsen1, 2 ;   Genevieve B Melton3
Article Authors Cited by (41) Tweetations (37) Metrics

Journals

  1. Yang X, Chen L, Feng Q. Risk perception of food safety issue on social media. Chinese Journal of Communication 2016;9(2):124 View
  2. Montesi S, Fisher J, Martinez F, Selman M, Pardo A, Johannson K. Update in Interstitial Lung Disease 2019. American Journal of Respiratory and Critical Care Medicine 2020;202(4):500 View
  3. Gabarron E, Fernandez-Luque L, Armayones M, Lau A. Identifying Measures Used for Assessing Quality of YouTube Videos with Patient Health Information: A Review of Current Literature. Interactive Journal of Medical Research 2013;2(1):e6 View
  4. Konstantinidis S, Fernandez-Luque L, Bamidis P, Karlsen R. The Role of Taxonomies in Social Media and the Semantic Web for Health Education. Methods of Information in Medicine 2013;52(02):168 View
  5. Bornkessel A, Furberg R, Lefebvre R. Social Media: Opportunities for Quality Improvement and Lessons for Providers—A Networked Model for Patient-Centered Care Through Digital Engagement. Current Cardiology Reports 2014;16(7) View
  6. Huh J, Kim H, Rath B, Lu X, Srivastava J. You reap where you sow: a trust-based approach to initial seeding for viral advertising. International Journal of Advertising 2020;39(7):963 View
  7. Stellefson M, Chaney B, Ochipa K, Chaney D, Haider Z, Hanik B, Chavarria E, Bernhardt J. YouTube as a source of chronic obstructive pulmonary disease patient education. Chronic Respiratory Disease 2014;11(2):61 View
  8. Rutsaert P, Regan Á, Pieniak Z, McConnon Á, Moss A, Wall P, Verbeke W. The use of social media in food risk and benefit communication. Trends in Food Science & Technology 2013;30(1):84 View
  9. Moorhead S, Hazlett D, Harrison L, Carroll J, Irwin A, Hoving C. A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication. Journal of Medical Internet Research 2013;15(4):e85 View
  10. Sakib M, Zolfagharian M, Yazdanparast A. Does parasocial interaction with weight loss vloggers affect compliance? The role of vlogger characteristics, consumer readiness, and health consciousness. Journal of Retailing and Consumer Services 2020;52:101733 View
  11. Zhang J, Zheng Z, Wang Y, Zhu Y. A study on users’ preference towards diabetes-related video clips on YouTube. BMC Medical Informatics and Decision Making 2020;20(1) View
  12. Wiesner M, Pfeifer D. Health Recommender Systems: Concepts, Requirements, Technical Basics and Challenges. International Journal of Environmental Research and Public Health 2014;11(3):2580 View
  13. Gruzd A, Haythornthwaite C. Enabling Community Through Social Media. Journal of Medical Internet Research 2013;15(10):e248 View
  14. Nagata J, Cassidy L, Hickey M, Chuc J, Bream K. Evaluation of a Diabetes Education Video Among the Tz'utujil Maya in Guatemala. Diabetes Technology & Therapeutics 2013;15(7):606 View
  15. Chen H, Hu Z, Zheng X, Yuan Z, Xu Z, Yuan L, Perez V, Yuan K, Orcholski M, Liao X. Effectiveness of YouTube as a Source of Medical Information on Heart Transplantation. interactive Journal of Medical Research 2013;2(2):e28 View
  16. Saidinejad M, Zorc J. Mobile and Web-Based Education. Pediatric Emergency Care 2014;30(3):211 View
  17. Sanchez Bocanegra C, Sevillano Ramos J, Rizo C, Civit A, Fernandez-Luque L. HealthRecSys: A semantic content-based recommender system to complement health videos. BMC Medical Informatics and Decision Making 2017;17(1) View
  18. Sousa A, Almeida A. Habits and Behaviors of e-health Users: A Study on the Influence of the Interface in the Perception of Trust and Credibility. Procedia Computer Science 2016;100:602 View
  19. Syed-Abdul S, Fernandez-Luque L, Jian W, Li Y, Crain S, Hsu M, Wang Y, Khandregzen D, Chuluunbaatar E, Nguyen P, Liou D. Misleading Health-Related Information Promoted Through Video-Based Social Media: Anorexia on YouTube. Journal of Medical Internet Research 2013;15(2):e30 View
  20. Crist C, Duncan S, Bianchi L. Incorporation of Cross‐Disciplinary Teaching and a Wiki Research Project to Engage Undergraduate Students’ to Develop Information Literacy, Critical Thinking, and Communication Skills. Journal of Food Science Education 2017;16(3):81 View
  21. Goobie G, Guler S, Johannson K, Fisher J, Ryerson C. YouTube Videos as a Source of Misinformation on Idiopathic Pulmonary Fibrosis. Annals of the American Thoracic Society 2019;16(5):572 View
  22. Pérez-Aldana C, Lewinski A, Johnson C, Vorderstrasse A, Myneni S. Exchanges in a Virtual Environment for Diabetes Self-Management Education and Support: Social Network Analysis. JMIR Diabetes 2021;6(1):e21611 View
  23. Song S, Zhang Y, Yu B. Interventions to support consumer evaluation of online health information credibility: A scoping review. International Journal of Medical Informatics 2021;145:104321 View
  24. Afful-Dadzie E, Afful-Dadzie A, Egala S. Social media in health communication: A literature review of information quality. Health Information Management Journal 2023;52(1):3 View
  25. Tabba' A, Kateb L, Al-Hussaini M. Clinical Trials in Social Media: Content Analysis of YouTube Videos in Arabic Language (Preprint). Interactive Journal of Medical Research 2020 View
  26. Kostkova P, Saigí-Rubió F, Eguia H, Borbolla D, Verschuuren M, Hamilton C, Azzopardi-Muscat N, Novillo-Ortiz D. Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic. Frontiers in Digital Health 2021;3 View
  27. Woon T, Chia S, Kwan Y, Phang J, Fong W. Evaluation of the quality of YouTube videos on traditional Chinese medicine and inflammatory arthritis. European Journal of Integrative Medicine 2021;47:101380 View
  28. YAŞA İ, MALKOÇ G. Quality, reliability, and content assessment of YouTube™ videos associated with aphasia. Journal of Health Sciences and Medicine 2023;6(5):870 View
  29. Sinha N, Sharma A. Analysis of the most viewed Hindi YouTube videos on breast cancer. Indian Journal of Cancer 2024;61(2):396 View
  30. Almobarak F. A content analysis of YouTube videos on palliative care: understanding the quality and availability of online resources. Palliative Care and Social Practice 2024;18 View
  31. Rammohan R, Magam S, Joy M, Lau W, Tadikonda A, Natt D, Magam S, Pannikodu L, Desai J, Jiyani R, Sheikh S, Bunting S, Anand P, Subramani K, Khan N, Mustacchia P. A Double-Edged Sword: Quality and Credibility of Colon Cancer Screening Content on YouTube. Cureus 2024 View
  32. Joo O, Ha Y. Factors Affecting the Intention to Use Smartmonitor-Based Mobile Health in Middle-Aged in Patients Applying the Technology Acceptance Model II. Journal of Korean Academy of Nursing 2024;54 View

Books/Policy Documents

  1. Guzzo T, D’Andrea A, Ferri F, Grifoni P. Social Networks: Analysis and Case Studies. View
  2. Mukherjee S, Kumar J, Jha A, Pandey J. E-Collaboration Technologies and Strategies for Competitive Advantage Amid Challenging Times. View
  3. Sanchez-Bocanegra C, Sanchez-Laguna F, Sevillano J. Data Mining in Clinical Medicine. View
  4. McFarland D, Grassi L, Riba M. The Complex Role of Patient Trust in Oncology. View