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

Social Media for Diabetes (34) Natural Language Processing (650) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) Infodemiology and Infoveillance (1278) Diabetes (154) Peer-to-Peer Support and Online Communities (602)

Published on in Vol 6, No 4 (2021): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30756, first published .
Mapping Individual Differences on the Internet: Case Study of the Type 1 Diabetes Community

Mapping Individual Differences on the Internet: Case Study of the Type 1 Diabetes Community

Mapping Individual Differences on the Internet: Case Study of the Type 1 Diabetes Community

Authors of this article:

Cianna Bedford-Petersen1 Author Orcid Image ;   Sara J Weston1 Author Orcid Image
Article Authors Cited by (3) Tweetations (17) Metrics

Journals

  1. Lewis D, Milo J, Espares J, Lin J, Li J, Tang D, Rataj H, Aronoff-Spencer E. Understanding the needs of people aging with type 1 diabetes: a user-focused research study with prototype diabetes advance directive and setting the stage for future research. Journal of Diabetes & Metabolic Disorders 2022;21(1):791 View
  2. Gandasari D, Tjiptadi D, Tjahjana D, Sugiarto M, Sarwoprasodjo S. Social Network Analysis of Basic Necessity Scarcity on Twitter: Evidence from Indonesia. Journal of Intercultural Communication 2023:1 View
  3. Weston S, Shryock I, Light R, Fisher P. Selecting the Number and Labels of Topics in Topic Modeling: A Tutorial. Advances in Methods and Practices in Psychological Science 2023;6(2):251524592311601 View