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

Information Seeking, Information Needs (419) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Peer-to-Peer Support and Online Communities (592) Diabetes Self-Management (462)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18441, first published .
Diabetes Self-Management in the Age of Social Media: Large-Scale Analysis of Peer Interactions Using Semiautomated Methods

Diabetes Self-Management in the Age of Social Media: Large-Scale Analysis of Peer Interactions Using Semiautomated Methods

Diabetes Self-Management in the Age of Social Media: Large-Scale Analysis of Peer Interactions Using Semiautomated Methods

Authors of this article:

Sahiti Myneni1 Author Orcid Image ;   Brittney Lewis2 Author Orcid Image ;   Tavleen Singh1 Author Orcid Image ;   Kristi Paiva2 Author Orcid Image ;   Seon Min Kim2 Author Orcid Image ;   Adrian V Cebula2 Author Orcid Image ;   Gloria Villanueva2 Author Orcid Image ;   Jing Wang2 Author Orcid Image
Article Authors Cited by (12) Tweetations (1) Metrics

Journals

  1. Singh T, Roberts K, Cohen T, Cobb N, Wang J, Fujimoto K, Myneni S. Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review. JMIR Public Health and Surveillance 2020;6(4):e21660 View
  2. 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
  3. Liang O, Chen Y, Bennett D, Yang C. Identifying Self-Management Support Needs for Pregnant Women With Opioid Misuse in Online Health Communities: Mixed Methods Analysis of Web Posts. Journal of Medical Internet Research 2021;23(2):e18296 View
  4. Frey E, Bonfiglioli C, Frawley J. Self-management: diabetes care is getting social. BMJ 2021:n1333 View
  5. Hughes A, Heydarian N, Gerardo D, Solis I, Morera O. Seeking Health Information and Social Support in the Diabetes Online Community. Frontiers in Clinical Diabetes and Healthcare 2021;2 View
  6. Singh T, Olivares S, Cohen T, Cobb N, Wang J, Franklin A, Myneni S. Pragmatics to Reveal Intent in Social Media Peer Interactions: Mixed Methods Study. Journal of Medical Internet Research 2021;23(11):e32167 View
  7. Macpherson K, Cooper K, Harbour J, Mahal D, Miller C, Nairn M. Experiences of living with long COVID and of accessing healthcare services: a qualitative systematic review. BMJ Open 2022;12(1):e050979 View
  8. Yao Z, Zhang B, Ni Z, Ma F. What users seek and share in online diabetes communities: examining similarities and differences in expressions and themes. Aslib Journal of Information Management 2022;74(2):311 View
  9. Du Y, Dennis B, Ramirez V, Li C, Wang J, Meireles C. Experiences and disease self-management in individuals living with chronic kidney disease: qualitative analysis of the National Kidney Foundation’s online community. BMC Nephrology 2022;23(1) View
  10. Medková J, Hynek J. HAkAu: hybrid algorithm for effective k-automorphism anonymization of social networks. Social Network Analysis and Mining 2023;13(1) View
  11. Fu J, Li C, Zhou C, Li W, Lai J, Deng S, Zhang Y, Guo Z, Wu Y. Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review. Journal of Medical Internet Research 2023;25:e43349 View
  12. Zhang Y, Fu J, Lai J, Deng S, Guo Z, Zhong C, Tang J, Cao W, Wu Y. Reporting of Ethical Considerations in Qualitative Research Utilizing Social Media Data on Public Health Care: Scoping Review. Journal of Medical Internet Research 2024;26:e51496 View