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

JMIR Theme Issue: COVID-19 Special Issue (2452) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (383) Natural Language Processing (692) Anxiety and Stress Disorders (1053) Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Peer-to-Peer Support and Online Communities (636) Depression and Mood Disorders; Suicide Prevention (1363) Eating Disorders (78)

Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22635, first published .
Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study

Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study

Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study

Authors of this article:

Daniel M Low1, 2, 3 Author Orcid Image ;   Laurie Rumker4, 5, 6, 7 Author Orcid Image ;   Tanya Talkar1, 8 Author Orcid Image ;   John Torous9 Author Orcid Image ;   Guillermo Cecchi10 Author Orcid Image ;   Satrajit S Ghosh1, 3, 11 Author Orcid Image
Article Authors Cited by (182) Tweetations (77) Metrics

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  128. Ahmed U, Lin J. Deep Explainable Hate Speech Active Learning on Social-Media Data. IEEE Transactions on Computational Social Systems 2024;11(4):4625 View
  129. Keinan R, Margalit E, Bouhnik D, Gupta A. Analysis of user trends in digital health communities using big data mining. PLOS ONE 2024;19(8):e0290803 View
  130. Ajmal S, Shoaib M, Iqbal F. RSTFusionX: Leveraging Rhetorical Structure Theory and Ensemble Models for Depression Prediction in Social Media Posts. IEEE Access 2024;12:118389 View
  131. Zuromski K, Low D, Jones N, Kuzma R, Kessler D, Zhou L, Kastman E, Epstein J, Madden C, Ghosh S, Gowel D, Nock M. Detecting suicide risk among U.S. servicemembers and veterans: a deep learning approach using social media data. Psychological Medicine 2024;54(12):3379 View
  132. Wang V, Joo S. Mental health issues of higher education students reflected in academic research: A text mining study. Journal of American College Health 2024:1 View
  133. Owen D, Lynham A, Smart S, Pardiñas A, Camacho Collados J. AI for Analyzing Mental Health Disorders Among Social Media Users: Quarter-Century Narrative Review of Progress and Challenges. Journal of Medical Internet Research 2024;26:e59225 View
  134. 毛 心. Application of the Random Forest Model in Predicting Smartphone Addiction among First-Year College Students. Advances in Psychology 2024;14(10):30 View
  135. Campos-Castillo C, Atkinson E, Ahmed G. Mixed experiences with online learning among neurodiverse youth: Evidence from video recordings of a longitudinal study. PLOS Mental Health 2024;1(5):e0000167 View
  136. Odja K, Widiarta J, Purwanto E, Ario M. Mental illness detection using sentiment analysis in social media. Procedia Computer Science 2024;245:971 View

Books/Policy Documents

  1. DeCaprio D. Leveraging Artificial Intelligence in Global Epidemics. View
  2. V. S. A. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease. View
  3. Ventura V, Jezek E. Proceedings of the Eighth Italian Conference on Computational Linguistics CliC-it 2021. View
  4. Küçük E, Küçük D. Applications of Computational Science in Artificial Intelligence. View
  5. Döring N. Forschungsmethoden und Evaluation in den Sozial- und Humanwissenschaften. View
  6. Hopfgartner N, Ruprechter T, Helic D. Social Informatics. View
  7. Heinz M, Price G, Song S, Bhattacharya S, Jacobson N. Digital Mental Health. View
  8. Jindal R, Malhotra A. Proceedings of Second Doctoral Symposium on Computational Intelligence. View
  9. Nipa T, Al Islam A. Mobile and Ubiquitous Systems: Computing, Networking and Services. View
  10. Daneshvar H, Boursalie O, Samavi R, Doyle T, Duncan L, Pires P, Sassi R. Artificial Intelligence for Medicine. View
  11. Levin B, Hanson A. Women’s Behavioral Health. View