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

JMIR Theme Issue: COVID-19 Special Issue (2493) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1530) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (405) Natural Language Processing (801) Anxiety and Stress Disorders (1178) Infodemiology and Infoveillance (1454) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1087) Peer-to-Peer Support and Online Communities (713) Depression and Mood Disorders; Suicide Prevention (1514) Eating Disorders (89)

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 (203) Tweetations (74) 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
  137. Sidani L, Nadar S, Tfaili J, El Rayes S, Sharara F, Elhage J, Fakhoury M. Digital Psychiatry: Opportunities, Challenges, and Future Directions. Journal of Psychiatric Practice 2024;30(6):400 View
  138. Shankar S, Tewari V, Shankar S. Measuring Emotional Wellbeing and Emotional Contagion Through Sentiments and Emotions Evoked by Social Media for COVID-19. Sage Open 2024;14(4) View
  139. Akar E. Exploring the impact of social network structures on toxicity in online mental health communities. Computers in Human Behavior 2025;165:108542 View
  140. Morini V, Sansoni M, Rossetti G, Pedreschi D, Castillo C. Participant behavior and community response in online mental health communities: Insights from Reddit. Computers in Human Behavior 2025;165:108544 View
  141. Sao M, Lim H. MIRoBERTa: Mental Illness Text Classification With Transfer Learning on Subreddits. IEEE Access 2024;12:197454 View
  142. Cummins J, Gottlieb D, Sofer T, Wallace D. Applying Natural Language Processing Techniques to Map Trends in Insomnia Treatment Terms on the r/Insomnia Subreddit: Infodemiology Study. Journal of Medical Internet Research 2025;27:e58902 View
  143. Suzuki T, Ohtani T, Nakazato M, Garidkhuu A, Muzembo B, Ikeda S. Impact of fear of coronavirus disease 2019 on attention-deficit/hyperactivity disorder traits associated with depressive symptoms, functional impairment, and low self-esteem in university students: a cross-sectional study with mediation analysis. Environmental Health and Preventive Medicine 2025;30(0):2 View
  144. Shetty N, Singh Y, Hegde V, Cenitta D, K D. Exploring emotional patterns in social media through NLP models to unravel mental health insights. Healthcare Technology Letters 2025;12(1) View
  145. Kocol O, Sabel I, Timpano K, Grisham J. The significance of growing up in a hoarded home: Using natural language processing to examine the experiences of adult children of hoarding parents on Reddit. Journal of Obsessive-Compulsive and Related Disorders 2025;44:100938 View
  146. Dan E, Zhu J, Jin R. Exploring Suicide Factors in Online Discourse: Sentiment and Thematic Analysis of Reddit. ACM Transactions on the Web 2025 View
  147. Yang Q, Luo Z, Ledbetter A. Examining Social Support Conversations on Reddit During COVID-19 Using Computational Methods. Health Communication 2025:1 View
  148. Harvey D, Rayson P, Lobban F, Palmier-Claus J, Dolman C, Chataigné A, Jones S. Using Natural Language Processing Methods to Build the Hypersexuality in Bipolar Reddit Corpus: Infodemiology Study of Reddit. JMIR Infodemiology 2025;5:e65632 View
  149. Siddiqui Z, Pathan M, Nduaguba S, LeMasters T, Scott V, Sambamoorthi U, Patel J, Bitterman D. Leveraging social media data to study disease and treatment characteristics of Hodgkin’s lymphoma Using Natural Language Processing methods. PLOS Digital Health 2025;4(3):e0000765 View
  150. Akar E. Connecting for well-being: a role-based network analysis of online mental health communities. Behaviour & Information Technology 2025:1 View
  151. Ibitoye A, Oladimeji O, Afe O. Clustering digital mental health perceptions using transformer-based models. Franklin Open 2025;11:100262 View
  152. Kim J, Chen M, Rezaei S, Ramirez-Posada M, Caswell-Jin J, Kurian A, Riaz F, Sarin K, Tang J, Asch S, Linos E. Patient-Centered Research Through Artificial Intelligence to Identify Priorities in Cancer Care. JAMA Oncology 2025 View
  153. Dash R, Udgata S, Mohapatra R, Dash V, Das A. A Deep Learning Approach to Unveil Types of Mental Illness by Analyzing Social Media Posts. Mathematical and Computational Applications 2025;30(3):49 View
  154. Wagay F, Jahiruddin . Classification of Mental Illnesses from Reddit Posts Using Sentence-BERT Embeddings and Neural Networks. Procedia Computer Science 2025;258:1669 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
  12. Vijayalakshmi P, Banupriya G. Humanizing Technology With Emotional Intelligence. View
  13. Phukan O, Sharma R, Buduru A. Social Networks Analysis and Mining. View
  14. Sharma L, Kaushik N, Sharma T. XR and Metaverse. View

Books/Policy Documents

  1. . Digitale Kommunikationsstrukturen. View

Conference Proceedings

  1. Ahmed U, Lin J, Srivastava G. 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Fuzzy Explainable Attention-based Deep Active Learning on Mental-Health Data View
  2. Collins C, Arbour S, Beals N, Yama S, Laffier J, Zhao Z. Designing Interactive Systems Conference. Covid Connect: Chat-Driven Anonymous Story-Sharing for Peer Support View
  3. Vajre V, Naylor M, Kamath U, Shehu A. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). PsychBERT: A Mental Health Language Model for Social Media Mental Health Behavioral Analysis View
  4. Zain S, Mumtaz W. 2022 International Conference on Frontiers of Information Technology (FIT). Tri-model ensemble with Grid Search optimization for Bipolar Disorder Diagnosis View
  5. Sartain A, El-Haj M. 2021 IEEE International Conference on Big Data (Big Data). The Influence of Social Factors on Mental Health and Wellbeing during the COVID-19 Pandemic View
  6. Chen J, Qi K, Zhang A, Shalaginov M, Zeng T. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). COVID-19 Impact on Mental Health Analysis based on Reddit Comments View
  7. Lei Y, Cui Z, Yang Y, Wang X. Proceedings of the 8th International Conference on Computing and Artificial Intelligence. STDAPM: Spatial and Temporal Distribution Analysis and Prediction Model of Bee Species based on Grey Model View
  8. Aureus J, Estuar M, Mapua D, Abao R, Cataluna A. 2021 1st International Conference in Information and Computing Research (iCORE). Determining Linguistic Markers in Cognitive Distortions from COVID-19 Pandemic-Related Reddit Texts View
  9. Mansoori M, Maliwal H, Kotian S, Kenkre H, Saha I, Mishra P. 2022 IEEE 7th International conference for Convergence in Technology (I2CT). A Systematic Survey on Computational agents for Mental Health Aid View
  10. Abro H, Shah Z, Abbasi H. 2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE). Analysis Of COVID-19 Effects On Wellbeing - Study Of Reddit Posts Using Natural Language Processing Techniques View
  11. Jiang T, Xu C, Liang D, Wei Y. 2021 2nd International Conference on Artificial Intelligence and Education (ICAIE). Health Education Based on Natural Language Processing(NLP) for Infectious Disease Outbreak View
  12. Gaur M, Roy K, Sharma A, Srivastava B, Sheth A. 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI). “Who can help me?”: Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit View
  13. Liu X, Fang S, Mohler G, Carlson J, Xiao Y. 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA). Time-to-event modeling of subreddits transitions to r/SuicideWatch View
  14. Mantione-Holmes G, Leo J, Kalita J. 2023 IEEE 17th International Conference on Semantic Computing (ICSC). Utilizing Priming to Identify Optimal Class Ordering to Alleviate Catastrophic Forgetting View
  15. Berger S, Agurto C, Cecchi G, Eyigoz E, Hershey B, Lechleiter K, Huynh D, McDonald M, Rogers J. 2023 IEEE International Conference on Digital Health (ICDH). The Impact of COVID-19 on Chronic Pain: Multidimensional Clustering Reveals Deep Insights into Spinal Cord Stimulation Patients View
  16. Siddiqui T, Sharma A, Arora M. 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT). Adaptive Mental Health And Mood Uplifting Chatbot View
  17. Le-Hinh N, Vo-Hoang H, Tran T, Cao X. Proceedings of the 12th International Symposium on Information and Communication Technology. Improving Depression Classification in Social Media Text with Transformer Ensembles View
  18. Kalantari N, Payandeh A, Zampieri M, Motti V. 2023 IEEE International Conference on Big Data (BigData). Understanding the Language of ADHD and Autism Communities on Social Media View
  19. Abu Noman Siddik S, Arifuzzaman B, Kalam A. 2022 10th International Conference on Information and Communication Technology (ICoICT). Psyche Conversa - A Deep Learning Based Chatbot Framework to Detect Mental Health State View
  20. Fang C, Dianatobing G, Atara T, Edbert I, Suhartono D. 2022 6th International Conference on Informatics and Computational Sciences (ICICoS). Feature Extraction Methods for Depression Detection Through Social Media Text View
  21. Dixit K, Pundir S, Shrivastava A, Kumar C, Srivastava A, Singh P. 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON). Analyzing Textual Data for Mental Health Assessment: Natural Language Processing for Depression and Anxiety View
  22. Tamim F, Taheri Z, Hoque M. 2023 26th International Conference on Computer and Information Technology (ICCIT). Detecting Signs of Depression from Social Media Texts using Generalized Autoregressive Pretraining Transformer Model View
  23. Sanga P, Singh J, Priyadarshi P. 2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI). Unmasking Depression via Attention-modulated Text Analysis using Deep Learning View
  24. Lima Filho S, Silva M, Oliveira J. Anais Estendidos do XIX Simpósio Brasileiro de Sistemas Colaborativos (SBSC Estendido 2024). Identificacão de Sintomas de Depressão por Dados de Mídias Sociais: Aplicando Design Science Research para Desenvolver um Modelo de Classificação View
  25. Chen J, Peimin L, Chen Q, Yang S, Zhang X, Wu Y. 2024 7th World Conference on Computing and Communication Technologies (WCCCT). Depression Detection Based On Text And User Networksa View
  26. Akshaya V, Raja Ruben B, Santhosh K, Shafiya Banu M. 2024 International Conference on Communication, Computing and Internet of Things (IC3IoT). Drug Review: Sentiment Analysis, Using Advanced Machine Learning View
  27. Lima Filho S, Silva M, Oliveira J. Anais Estendidos do XXIV Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2024). Depression Symptoms Identification through Social Media Data: Applying Design Science Research to Develop a Classification Model View
  28. Lima Filho S, Silva M, Oliveira J. Anais Estendidos do XX Simpósio Brasileiro de Sistemas de Informação (SBSI 2024). Identificação de Sintomas de Depressão por Dados de Mídias Sociais: Aplicando Design Science Research para Desenvolver um Modelo de Classificação View
  29. Adel S, Elmadany N, Sharkas M. 2024 International Conference on Machine Intelligence and Smart Innovation (ICMISI). AI - Driven Mental Disorders Categorization from Social Media: A Deep Learning Pre-Screening Framework View
  30. Lima Filho S, Silva E, Oliveira J, Silva M. Anais do XIII Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2024). DepressSet: Um conjunto de dados de análises textuais sobre postagens depressivas View
  31. Cui X, Hanley T, Choudhury M, Mu T. 2024 International Joint Conference on Neural Networks (IJCNN). Data-Driven or Dataless? Detecting Indicators of Mental Health Difficulties and Negative Life Events in Financial Resilience Using Prompt-Based Learning View
  32. Lima Filho S, Silva M, Oliveira J. Anais Estendidos do XXX Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia 2024). Depression Symptoms Identification through Social Media Data: Applying Design Science Research to Develop a Classification Model View
  33. Herculano A, de Paula T, Fernandes D, Rego A. Anais do VI Dataset Showcase Workshop (DSW 2024). DepreRedditBR: Um conjunto de dados textuais com postagens depressivas no idioma português brasileiro View
  34. Herculano A, Souza D, Rego A. Anais do XXXIX Simpósio Brasileiro de Banco de Dados (SBBD 2024). DepreBERTBR: Um Modelo de Linguagem Pré-treinado para o Domínio da Depressão no Idioma Português Brasileiro View