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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1657)

Published on in Vol 18, No 6 (2016): Jun

Demographic-Based Content Analysis of Web-Based Health-Related Social Media

Demographic-Based Content Analysis of Web-Based Health-Related Social Media

Demographic-Based Content Analysis of Web-Based Health-Related Social Media

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 (30) Tweetations (56) Metrics

Journals

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  7. 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
  8. Oosterveen E, Tzelepis F, Ashton L, Hutchesson M. A systematic review of eHealth behavioral interventions targeting smoking, nutrition, alcohol, physical activity and/or obesity for young adults. Preventive Medicine 2017;99:197 View
  9. Pesaranghader A, Matwin S, Sokolova M, Pesaranghader A. deepBioWSD: effective deep neural word sense disambiguation of biomedical text data. Journal of the American Medical Informatics Association 2019;26(5):438 View
  10. Udayakumar S, Senadeera D, Yamunarani S, Cheon N. Demographics Analysis of Twitter Users who Tweeted on Psychological Articles and Tweets Analysis. Procedia Computer Science 2018;144:96 View
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  14. Bahng J, Lee C. Topic Modeling for Analyzing Patients’ Perceptions and Concerns of Hearing Loss on Social Q&A Sites: Incorporating Patients’ Perspective. International Journal of Environmental Research and Public Health 2020;17(17):6209 View
  15. Cowey A, Potts H. What can we learn from second generation digital natives? A qualitative study of undergraduates’ views of digital health at one London university. DIGITAL HEALTH 2018;4 View
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  18. 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
  19. Park S, Suh Y, Kim J, Kwon J. Analysis for internet health counseling about precocious puberty using text mining and topic modeling. Korean Journal of Health Education and Promotion 2020;37(3):71 View
  20. Thelwall M, Makita M, Mas-Bleda A, Stuart E. “My ADHD Hellbrain”: A Twitter Data Science Perspective on a Behavioural Disorder. Journal of Data and Information Science 2021;6(1):13 View
  21. Shen L, Yao R, Zhang W, Evans R, Cao G, Zhang Z. Emotional Attitudes of Chinese Citizens on Social Distancing During the COVID-19 Outbreak: Analysis of Social Media Data. JMIR Medical Informatics 2021;9(3):e27079 View
  22. Nguyen A, Trinh X, Wang S, Wu A. Determination of Patient Sentiment and Emotion in Ophthalmology: Infoveillance Tutorial on Web-Based Health Forum Discussions. Journal of Medical Internet Research 2021;23(5):e20803 View
  23. Zingg A, Singh T, Myneni S. Analysis of Online Peripartum Depression Communities: Application of Multilabel Text Classification Techniques to Inform Digitally-Mediated Prevention and Management. Frontiers in Digital Health 2021;3 View
  24. Ulvi O, Karamehic-Muratovic A, Baghbanzadeh M, Bashir A, Smith J, Haque U. Social Media Use and Mental Health: A Global Analysis. Epidemiologia 2022;3(1):11 View
  25. Al-Dmour H, Masa’deh R, Salman A, Al-Dmour R, Abuhashesh M. The Role of Mass Media Interventions on Promoting Public Health Knowledge and Behavioral Social Change Against COVID-19 Pandemic in Jordan. Sage Open 2022;12(1) View
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Books/Policy Documents

  1. Doarn C. Telemedicine, Telehealth and Telepresence. View