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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570) Demographics of Users, Social & Digital Divide (679)

Published on in Vol 17, No 8 (2015): August

A Study of the Demographics of Web-Based Health-Related Social Media Users

A Study of the Demographics of Web-Based Health-Related Social Media Users

A Study of the Demographics of Web-Based Health-Related Social Media Users

Authors of this article:

Shouq A Sadah1 Author Orcid Image ;   Moloud Shahbazi1 Author Orcid Image ;   Matthew T Wiley1, 2 Author Orcid Image ;   Vagelis Hristidis1 Author Orcid Image
Article Authors Cited by (42) Tweetations (92) Metrics

Journals

  1. Navarro K, Wainwright E, Rodham K, Jordan A. Parenting young people with complex regional pain syndrome: an analysis of the process of parental online communication. PAIN Reports 2018;3(7):e681 View
  2. Kjær C, Fedders S, Gazerani P. A Tailored Information Strategy for Danish Health Professionals to Increase Patient Recruitment into Clinical Trials: a Questionnaire-Based Study. SN Comprehensive Clinical Medicine 2019;1(10):786 View
  3. Bousquet C, Audeh B, Bellet F, Lillo-Le Louët A. Comment on “Assessment of the Utility of Social Media for Broad-Ranging Statistical Signal Detection in Pharmacovigilance: Results from the WEB-RADR Project”. Drug Safety 2018;41(12):1371 View
  4. Yuan F, Liu R. Mining Social Media Data for Rapid Damage Assessment during Hurricane Matthew: Feasibility Study. Journal of Computing in Civil Engineering 2020;34(3) View
  5. Gantenbein L, Navarini A, Maul L, Brandt O, Mueller S. Internet and social media use in dermatology patients: Search behavior and impact on patient‐physician relationship. Dermatologic Therapy 2020;33(6) View
  6. Shah Z, Martin P, Coiera E, Mandl K, Dunn A. Modeling Spatiotemporal Factors Associated With Sentiment on Twitter: Synthesis and Suggestions for Improving the Identification of Localized Deviations. Journal of Medical Internet Research 2019;21(5):e12881 View
  7. Audeh B, Calvier F, Bellet F, Beyens M, Pariente A, Lillo-Le Louet A, Bousquet C. Pharmacology and social media: Potentials and biases of web forums for drug mention analysis—case study of France. Health Informatics Journal 2020;26(2):1253 View
  8. Lu Y, Wu Y, Liu J, Li J, Zhang P. Understanding Health Care Social Media Use From Different Stakeholder Perspectives: A Content Analysis of an Online Health Community. Journal of Medical Internet Research 2017;19(4):e109 View
  9. Lee K, Hoti K, Hughes J, Emmerton L. Consumer Use of “Dr Google”: A Survey on Health Information-Seeking Behaviors and Navigational Needs. Journal of Medical Internet Research 2015;17(12):e288 View
  10. Karapetiantz P, Lillo-Le Louët A, Bousquet C. Informativité des forums de discussion français pour l’évaluation des effets indésirables du baclofène. Therapies 2019;74(6):569 View
  11. Cortez M, Del Rosario C, Diño M. Eliciting Challenges on Social Connectedness among Filipino Nurse Returnees: A Cross-Sectional Mixed-Method Research. Nursing Research and Practice 2016;2016:1 View
  12. Sadah S, Shahbazi M, Wiley M, Hristidis V. Demographic-Based Content Analysis of Web-Based Health-Related Social Media. Journal of Medical Internet Research 2016;18(6):e148 View
  13. Hobson D, Meriwether K, Francis S, Kinman C, Stewart J. Sentiment Analysis of Web Sites Related to Vaginal Mesh Use in Pelvic Reconstructive Surgery. Female Pelvic Medicine & Reconstructive Surgery 2019;25(6):434 View
  14. Laughter M, Zangara T, Maymone M, Rundle C, Dunnick C, Hugh J, Sadeghpour M, Dellavalle R. Social media use in dermatology. Dermatologica Sinica 2020;38(1):28 View
  15. Lardon J, Bellet F, Aboukhamis R, Asfari H, Souvignet J, Jaulent M, Beyens M, Lillo-LeLouët A, Bousquet C. Evaluating Twitter as a complementary data source for pharmacovigilance. Expert Opinion on Drug Safety 2018;17(8):763 View
  16. Battineni G, Baldoni S, Chintalapudi N, Sagaro G, Pallotta G, Nittari G, Amenta F. Factors affecting the quality and reliability of online health information. DIGITAL HEALTH 2020;6:205520762094899 View
  17. Latulippe K, Hamel C, Giroux D. Social Health Inequalities and eHealth: A Literature Review With Qualitative Synthesis of Theoretical and Empirical Studies. Journal of Medical Internet Research 2017;19(4):e136 View
  18. Rivas R, Sadah S, Guo Y, Hristidis V. Classification of Health-Related Social Media Posts: Evaluation of Post Content–Classifier Models and Analysis of User Demographics. JMIR Public Health and Surveillance 2020;6(2):e14952 View
  19. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  20. Costello R, Anand A, Jameson Evans M, Dixon W. Associations Between Engagement With an Online Health Community and Changes in Patient Activation and Health Care Utilization: Longitudinal Web-Based Survey. Journal of Medical Internet Research 2019;21(8):e13477 View
  21. Cabosky J. Social media opinion sharing: beyond volume. Journal of Consumer Marketing 2016;33(3):172 View
  22. Dumas A, Lapointe A, Desroches S. Users, Uses, and Effects of Social Media in Dietetic Practice: Scoping Review of the Quantitative and Qualitative Evidence. Journal of Medical Internet Research 2018;20(2):e55 View
  23. Fan K, Ghani S, Machairas N, Lenti L, Fan K, Richardson D, Scott A, Raptis D. COVID-19 prevention and treatment information on the internet: a systematic analysis and quality assessment. BMJ Open 2020;10(9):e040487 View
  24. Leis A, Ronzano F, Mayer M, Furlong L, Sanz F. Evaluating Behavioral and Linguistic Changes During Drug Treatment for Depression Using Tweets in Spanish: Pairwise Comparison Study. Journal of Medical Internet Research 2020;22(12):e20920 View
  25. Shakeri Hossein Abad Z, Kline A, Sultana M, Noaeen M, Nurmambetova E, Lucini F, Al-Jefri M, Lee J. Digital public health surveillance: a systematic scoping review. npj Digital Medicine 2021;4(1) View
  26. Schück S, Roustamal A, Gedik A, Voillot P, Foulquié P, Penfornis C, Job B. Assessing Patient Perceptions and Experiences of Paracetamol in France: Infodemiology Study Using Social Media Data Mining. Journal of Medical Internet Research 2021;23(7):e25049 View
  27. Ricard B, Hassanpour S. Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes. Journal of Medical Internet Research 2021;23(9):e27314 View
  28. Patel R, Smeraldi F, Abdollahyan M, Irving J, Bessant C. Analysis of mental and physical disorders associated with COVID-19 in online health forums: a natural language processing study. BMJ Open 2021;11(11):e056601 View
  29. Black C, Meng W, Yao L, Ben Miled Z. Inferring the patient’s age from implicit age clues in health forum posts. Journal of Biomedical Informatics 2022;125:103976 View
  30. Golder S, Stevens R, O'Connor K, James R, Gonzalez-Hernandez G. Methods to Establish Race or Ethnicity of Twitter Users: Scoping Review. Journal of Medical Internet Research 2022;24(4):e35788 View
  31. Qin L, Zhang X, Wu A, Miser J, Liu Y, Hsu J, Shia B, Ye L. Association Between Social Media Use and Cancer Screening Awareness and Behavior for People Without a Cancer Diagnosis: Matched Cohort Study. Journal of Medical Internet Research 2021;23(8):e26395 View
  32. Al Achkar M, Basu Roy U, Manley E, Standifer M, Baik C, Walsh C. A qualitative study of interactions with oncologists among patients with advanced lung cancer. Supportive Care in Cancer 2022;30(11):9049 View
  33. Galbraith E, Li J, Rio-Vilas V, Convertino M. In.To. COVID-19 socio-epidemiological co-causality. Scientific Reports 2022;12(1) View
  34. Szeto M, Mamo A, Afrin A, Militello M, Barber C. Social Media in Dermatology and an Overview of Popular Social Media Platforms. Current Dermatology Reports 2021;10(4):97 View
  35. Mazza M, Piperis M, Aasaithambi S, Chauhan J, Sagkriotis A, Vieira C. Social Media Listening to Understand the Lived Experience of Individuals in Europe With Metastatic Breast Cancer: A Systematic Search and Content Analysis Study. Frontiers in Oncology 2022;12 View
  36. Ye L, Chen Y, Cai Y, Kao Y, Wang Y, Chen M, Shia B, Qin L. Gender Differences in the Nonspecific and Health-Specific Use of Social Media Before and During the COVID-19 Pandemic: Trend Analysis Using HINTS 2017-2020 Data. Journal of Health Communication 2023;28(4):231 View
  37. Alnashwan R, O’Riordan A, Sorensen H. Multiple-Perspective Data-Driven Analysis of Online Health Communities. Healthcare 2023;11(20):2723 View
  38. Mackenzie E, Sanabria B, Tchack M, Khan S, Rao B. Investigating the diagnostic accuracy of GPT‐4's novel image analytics feature in dermatology. Journal of the European Academy of Dermatology and Venereology 2024 View
  39. Shapiro G, Surian D, Dunn A, Perry R, Kelaher M. Comparing human papillomavirus vaccine concerns on Twitter: a cross-sectional study of users in Australia, Canada and the UK. BMJ Open 2017;7(10):e016869 View
  40. Xu K, Onamusi T, Vasquez R, Glass D, Carroll B. Barriers to Health Literacy in Skin Bleaching: A Cross-Sectional Study of Reddit Discussion Posts. Dermatologic Surgery 2024 View

Books/Policy Documents

  1. Sillence E, Briggs P, Harris P. Web-Based Behavioral Therapies for Mental Disorders. View
  2. Johnson D, Dragojlovic N, Kopac N, Chen Y, Lenzen M, Le Huray S, Pollard S, Regier D, Harrison M, George A, Carenini G, Ng R, Lynd L. Multimodal AI in Healthcare. View