Published on in Vol 19, No 3 (2017): March

Longitudinal Changes in Psychological States in Online Health Community Members: Understanding the Long-Term Effects of Participating in an Online Depression Community

Longitudinal Changes in Psychological States in Online Health Community Members: Understanding the Long-Term Effects of Participating in an Online Depression Community

Longitudinal Changes in Psychological States in Online Health Community Members: Understanding the Long-Term Effects of Participating in an Online Depression Community

Authors of this article:

Albert Park 1 Author Orcid Image ;   Mike Conway 1 Author Orcid Image

Journals

  1. Park A, Conway M. Harnessing Reddit to Understand the Written-Communication Challenges Experienced by Individuals With Mental Health Disorders: Analysis of Texts From Mental Health Communities. Journal of Medical Internet Research 2018;20(4):e121 View
  2. Kotsenas A, Arce M, Aase L, Timimi F, Young C, Wald J. The Strategic Imperative for the Use of Social Media in Health Care. Journal of the American College of Radiology 2018;15(1):155 View
  3. Wicks P, Mack Thorley E, Simacek K, Curran C, Emmas C. Scaling PatientsLikeMe via a “Generalized Platform” for Members with Chronic Illness: Web-Based Survey Study of Benefits Arising. Journal of Medical Internet Research 2018;20(5):e175 View
  4. Moessner M, Feldhege J, Wolf M, Bauer S. Analyzing big data in social media: Text and network analyses of an eating disorder forum. International Journal of Eating Disorders 2018;51(7):656 View
  5. Joglekar S, Sastry N, Coulson N, Taylor S, Patel A, Duschinsky R, Anand A, Jameson Evans M, Griffiths C, Sheikh A, Panzarasa P, De Simoni A. How Online Communities of People With Long-Term Conditions Function and Evolve: Network Analysis of the Structure and Dynamics of the Asthma UK and British Lung Foundation Online Communities. Journal of Medical Internet Research 2018;20(7):e238 View
  6. Thelwall M, Stuart E. She's Reddit: A source of statistically significant gendered interest information?. Information Processing & Management 2019;56(4):1543 View
  7. Feldhege J, Moessner M, Bauer S. Who says what? Content and participation characteristics in an online depression community. Journal of Affective Disorders 2020;263:521 View
  8. Zheng Z, Yang Q, Liu Z, Qiu J, Gu J, Hao Y, Song C, Jia Z, Hao C. Associations Between Affective States and Sexual and Health Status Among Men Who Have Sex With Men in China: Exploratory Study Using Social Media Data. Journal of Medical Internet Research 2020;22(1):e13201 View
  9. Alpert J, Morris B, Thomson M, Matin K, Sabo R, Brown R. Patient access to clinical notes in oncology: A mixed method analysis of oncologists’ attitudes and linguistic characteristics towards notes. Patient Education and Counseling 2019;102(10):1917 View
  10. Savolainen I, Oksanen A, Kaakinen M, Sirola A, Paek H. The Role of Perceived Loneliness in Youth Addictive Behaviors: Cross-National Survey Study. JMIR Mental Health 2020;7(1):e14035 View
  11. Lu Y, Pan T, Deng S. What Drives Patients Affected by Depression to Share in Online Depression Communities? A Social Capital Perspective. Healthcare 2019;7(4):133 View
  12. Kumar A, Hangal S, Rosen A. Autobiographical recall of personally familiar names and temporal information in e-mails: An automatic analytic approach using e-mail communications. Behavior Research Methods 2019;51(4):1510 View
  13. Osadchiy V, Mills J, Eleswarapu S. Understanding Patient Anxieties in the Social Media Era: Qualitative Analysis and Natural Language Processing of an Online Male Infertility Community. Journal of Medical Internet Research 2020;22(3):e16728 View
  14. Giuntini F, Cazzolato M, dos Reis M, Campbell A, Traina A, Ueyama J. A review on recognizing depression in social networks: challenges and opportunities. Journal of Ambient Intelligence and Humanized Computing 2020;11(11):4713 View
  15. Helle C, Hillesund E, Wills A, Øverby N. Evaluation of an eHealth intervention aiming to promote healthy food habits from infancy -the Norwegian randomized controlled trial Early Food for Future Health. International Journal of Behavioral Nutrition and Physical Activity 2019;16(1) View
  16. Calvo R, Dinakar K, Picard R, Christensen H, Torous J. Toward Impactful Collaborations on Computing and Mental Health. Journal of Medical Internet Research 2018;20(2):e49 View
  17. Alpert J, Morris B, Thomson M, Matin K, Geyer C, Brown R. OpenNotes in oncology: oncologists’ perceptions and a baseline of the content and style of their clinician notes. Translational Behavioral Medicine 2019;9(2):347 View
  18. Park A, Conway M, Chen A. Examining thematic similarity, difference, and membership in three online mental health communities from reddit: A text mining and visualization approach. Computers in Human Behavior 2018;78:98 View
  19. Choi M, Kim S, Lee S, Kwon B, Yi J, Choo J, Huh J. Toward Predicting Social Support Needs in Online Health Social Networks. Journal of Medical Internet Research 2017;19(8):e272 View
  20. Roystonn K, Vaingankar J, Chua B, Sambasivam R, Shafie S, Jeyagurunathan A, Verma S, Abdin E, Chong S, Subramaniam M. The Public Health Impact and Policy Implications of Online Support Group Use for Mental Health in Singapore: Cross-Sectional Survey. JMIR Mental Health 2020;7(8):e18114 View
  21. Yao X, Yu G, Tian X, Tang J. Patterns and Longitudinal Changes in Negative Emotions of People with Depression on Sina Weibo. Telemedicine and e-Health 2020;26(6):734 View
  22. Mota N, Weissheimer J, Ribeiro M, de Paiva M, Avilla-Souza J, Simabucuru G, Chaves M, Cecchi L, Cirne J, Cecchi G, Rodrigues C, Copelli M, Ribeiro S, Scarpelli S. Dreaming during the Covid-19 pandemic: Computational assessment of dream reports reveals mental suffering related to fear of contagion. PLOS ONE 2020;15(11):e0242903 View
  23. Lynch M, Knezevic I, Ryan K, Cahill N. Opportunities for Qualitative Analysis of Social Media Platforms in Dietetic Research and Practice. Canadian Journal of Dietetic Practice and Research 2020:1 View
  24. Feng B, Li X, Lin L. Valenced social identities and the digital divide in online health communities. Computers in Human Behavior 2021;122:106812 View
  25. HUANG G, ZHOU X. The linguistic patterns of depressed patients. Advances in Psychological Science 2021;29(5):838 View