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

Peer-to-Peer Support and Online Communities (525) Innovations and Technology for Healthy Eating Education (361) Innovations and Technology for Physical Activity Education (612) Machine Learning (1188) Natural Language Processing (553)

Published on in Vol 22, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13745, first published .
Understanding Weight Loss via Online Discussions: Content Analysis of Reddit Posts Using Topic Modeling and Word Clustering Techniques

Understanding Weight Loss via Online Discussions: Content Analysis of Reddit Posts Using Topic Modeling and Word Clustering Techniques

Understanding Weight Loss via Online Discussions: Content Analysis of Reddit Posts Using Topic Modeling and Word Clustering Techniques

Authors of this article:

Yang Liu 1 Author Orcid Image ;   Zhijun Yin 2, 3 Author Orcid Image
Article Authors Cited by (14) Tweetations (4) Metrics

Journals

  1. Yin Z, Song L, Clayton E, Malin B, MacLure K. Health and kinship matter: Learning about direct-to-consumer genetic testing user experiences via online discussions. PLOS ONE 2020;15(9):e0238644 View
  2. 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
  3. Zowalla R, Pfeifer D, Wetter T, Al-Yateem N. Readability and topics of the German Health Web: Exploratory study and text analysis. PLOS ONE 2023;18(2):e0281582 View
  4. Tripathi S, Parker P, Prabhu A, Thomas K, Rodriguez A. An Examination of Patients and Caregivers on Reddit Navigating Brain Cancer: Content Analysis of the Brain Tumor Subreddit. JMIR Cancer 2022;8(2):e35324 View
  5. Pollack C, Emond J, O'Malley A, Byrd A, Green P, Miller K, Vosoughi S, Gilbert-Diamond D, Onega T. Characterizing the Prevalence of Obesity Misinformation, Factual Content, Stigma, and Positivity on the Social Media Platform Reddit Between 2011 and 2019: Infodemiology Study. Journal of Medical Internet Research 2022;24(12):e36729 View
  6. Nagpal M, Barbaric A, Sherifali D, Morita P, Cafazzo J. Patient-Generated Data Analytics of Health Behaviors of People Living With Type 2 Diabetes: Scoping Review. JMIR Diabetes 2021;6(4):e29027 View
  7. Côté M, Lamarche B. Artificial intelligence in nutrition research: perspectives on current and future applications. Applied Physiology, Nutrition, and Metabolism 2022;47(1):1 View
  8. Liu Y, Yin Z, Wan Z, Yan C, Xia W, Ni C, Clayton E, Vorobeychik Y, Kantarcioglu M, Malin B. Implicit Incentives Among Reddit Users to Prioritize Attention Over Privacy and Reveal Their Faces When Discussing Direct-to-Consumer Genetic Test Results: Topic and Attention Analysis. JMIR Infodemiology 2022;2(2):e35702 View
  9. Yom Tov E, Hochberg I. A Large-Scale Observational Analysis of Social Media Data Reveals Major Public Misperception of the Attainability of Drastic Weight Loss by Dieting. Obesity Facts 2023;16(2):141 View
  10. Yang Q, Ledbetter A, Zhuang J, Richards A. Theme and sentiment of posts in a weight loss subreddit predict popularity, engagement, and users’ weight loss: a computational approach. Human Communication Research 2023;49(4):452 View
  11. Naroji S, John J, Gomez-Lobo V. Understanding PCOS Related Content Across Social Media Platforms - A Cross Sectional Analysis. Journal of Pediatric and Adolescent Gynecology 2023 View

Books/Policy Documents

  1. Gamage D, Chen J, Ghasiya P, Sasahara K. Frontiers in Fake Media Generation and Detection. View
  2. Côté M, Lamarche B. Artificial Intelligence in Clinical Practice. View