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

JMIR Theme Issue: COVID-19 Special Issue (2273) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1401) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (359) Natural Language Processing (551) Anxiety and Stress Disorders (912) Infodemiology and Infoveillance (1163) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (944) Peer-to-Peer Support and Online Communities (524) Depression and Mood Disorders; Suicide Prevention (1168) Eating Disorders (63)

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 Low 1, 2, 3 Author Orcid Image ;   Laurie Rumker 4, 5, 6, 7 Author Orcid Image ;   Tanya Talkar 1, 8 Author Orcid Image ;   John Torous 9 Author Orcid Image ;   Guillermo Cecchi 10 Author Orcid Image ;   Satrajit S Ghosh 1, 2, 11 Author Orcid Image
Article Authors Cited by (133) Tweetations (78) Metrics

Journals

  1. Basile V, Cauteruccio F, Terracina G. How Dramatic Events Can Affect Emotionality in Social Posting: The Impact of COVID-19 on Reddit. Future Internet 2021;13(2):29 View
  2. Koh J, Liew T. How loneliness is talked about in social media during COVID-19 pandemic: Text mining of 4,492 Twitter feeds. Journal of Psychiatric Research 2022;145:317 View
  3. Krawczyk N, Bunting A, Frank D, Arshonsky J, Gu Y, Friedman S, Bragg M. “How will I get my next week's script?” Reactions of Reddit opioid forum users to changes in treatment access in the early months of the coronavirus pandemic. International Journal of Drug Policy 2021:103140 View
  4. Ahmed U, Mukhiya S, Srivastava G, Lamo Y, Lin J. Attention-Based Deep Entropy Active Learning Using Lexical Algorithm for Mental Health Treatment. Frontiers in Psychology 2021;12 View
  5. Bunting A, Frank D, Arshonsky J, Bragg M, Friedman S, Krawczyk N. Socially-supportive norms and mutual aid of people who use opioids: An analysis of Reddit during the initial COVID-19 pandemic. Drug and Alcohol Dependence 2021;222:108672 View
  6. Gabarron E, Rivera-Romero O, Miron-Shatz T, Grainger R, Denecke K. Role of Participatory Health Informatics in Detecting and Managing Pandemics: Literature Review. Yearbook of Medical Informatics 2021;30(01):200 View
  7. Lam C, Chan C, Hamamura T. Time-dependent association between mass protests and psychological distress on social media: A text mining study during the 2019 anti-government social unrest in Hong Kong. Journal of Affective Disorders 2021;291:177 View
  8. Feldhege J, Moessner M, Wolf M, Bauer S. Changes in Language Style and Topics in an Online Eating Disorder Community at the Beginning of the COVID-19 Pandemic: Observational Study. Journal of Medical Internet Research 2021;23(7):e28346 View
  9. Champagne-Langabeer T, Swank M, Manas S, Si Y, Roberts K. Dramatic Increases in Telehealth-Related Tweets during the Early COVID-19 Pandemic: A Sentiment Analysis. Healthcare 2021;9(6):634 View
  10. Su Z, McDonnell D, Bentley B, He J, Shi F, Cheshmehzangi A, Ahmad J, Jia P. Addressing Biodisaster X Threats With Artificial Intelligence and 6G Technologies: Literature Review and Critical Insights. Journal of Medical Internet Research 2021;23(5):e26109 View
  11. Yom-Tov E, Lekkas D, Jacobson N. Association of COVID19-induced anosmia and ageusia with depression and suicidal ideation. Journal of Affective Disorders Reports 2021;5:100156 View
  12. John A, Eyles E, Webb R, Okolie C, Schmidt L, Arensman E, Hawton K, O'Connor R, Kapur N, Moran P, O'Neill S, McGuinness L, Olorisade B, Dekel D, Macleod-Hall C, Cheng H, Higgins J, Gunnell D. The impact of the COVID-19 pandemic on self-harm and suicidal behaviour: update of living systematic review. F1000Research 2021;9:1097 View
  13. Liu Y, Whitfield C, Zhang T, Hauser A, Reynolds T, Anwar M. Monitoring COVID-19 pandemic through the lens of social media using natural language processing and machine learning. Health Information Science and Systems 2021;9(1) View
  14. Chen Q, Leaman R, Allot A, Luo L, Wei C, Yan S, Lu Z. Artificial Intelligence in Action: Addressing the COVID-19 Pandemic with Natural Language Processing. Annual Review of Biomedical Data Science 2021;4(1):313 View
  15. Gianfredi V, Provenzano S, Santangelo O. What can internet users' behaviours reveal about the mental health impacts of the COVID-19 pandemic? A systematic review. Public Health 2021;198:44 View
  16. Slemon A, McAuliffe C, Goodyear T, McGuinness L, Shaffer E, Jenkins E. Reddit Users' Experiences of Suicidal Thoughts During the COVID-19 Pandemic: A Qualitative Analysis of r/Covid19_support Posts. Frontiers in Public Health 2021;9 View
  17. Park E, Kim S. Veganism during the COVID-19 pandemic: Vegans' and nonvegans' perspectives. Appetite 2022;175:106082 View
  18. Deng Y, Park M, Chen J, Yang J, Xie L, Li H, Wang L, Chen Y, Carrà G. Emotional discourse analysis of COVID-19 patients and their mental health: A text mining study. PLOS ONE 2022;17(9):e0274247 View
  19. Adarsh V, Arun Kumar P, Lavanya V, Gangadharan G. Fair and Explainable Depression Detection in Social Media. Information Processing & Management 2023;60(1):103168 View
  20. McAuliffe C, Slemon A, Goodyear T, McGuinness L, Shaffer E, Jenkins E. Connectedness in the time of COVID-19: Reddit as a source of support for coping with suicidal thinking. SSM - Qualitative Research in Health 2022;2:100062 View
  21. Blanchard A, Keenan G, Heym N, Sumich A. COVID-19 prevention behaviour is differentially motivated by primary psychopathy, grandiose narcissism and vulnerable Dark Triad traits. Personality and Individual Differences 2023;204:112060 View
  22. Hoekstra O, Hurst W, Tummers J. Healthcare related event prediction from textual data with machine learning: A Systematic Literature Review. Healthcare Analytics 2022;2:100107 View
  23. Ahmed U, Jhaveri R, Srivastava G, Lin J. Explainable Deep Attention Active Learning for Sentimental Analytics of Mental Disorder. ACM Transactions on Asian and Low-Resource Language Information Processing 2022 View
  24. Singh J, Wazid M, Singh D, Pundir S. An embedded LSTM based scheme for depression detection and analysis. Procedia Computer Science 2022;215:166 View
  25. Buchner V, Hamm S, Medenica B, Molendijk M. Linguistic Analysis of Online Domestic Violence Testimonies in the Context of COVID-19. SAGE Open 2023;13(1):215824402211461 View
  26. Huma , Khalid Sohail M, Akhtar N, Muhammad D, Afzal H, Rafiq Mufti M, Hussain S, Ahmed M. Analyzing COVID-2019 Impact on Mental Health Through Social Media Forum. Computers, Materials & Continua 2021;67(3):3737 View
  27. Wulz A, Law R, Wang J, Wolkin A. Leveraging data science to enhance suicide prevention research: a literature review. Injury Prevention 2022;28(1):74 View
  28. Boggs J, Kafka J. A Critical Review of Text Mining Applications for Suicide Research. Current Epidemiology Reports 2022;9(3):126 View
  29. Al-Garadi M, Yang Y, Sarker A. The Role of Natural Language Processing during the COVID-19 Pandemic: Health Applications, Opportunities, and Challenges. Healthcare 2022;10(11):2270 View
  30. Yan T, Liu F, Wang F. COVID-19 sentiment analysis using college subreddit data. PLOS ONE 2022;17(11):e0275862 View
  31. Gupta A, Katarya R. Deep embedding for mental health content on social media using vector space model with feature clusters. Concurrency and Computation: Practice and Experience 2022;34(13) View
  32. Merchant R, Goldin A, Manjanatha D, Harter C, Chandler J, Lipp A, Nguyen T, Naslund J. Opportunities to expand access to mental health services: A case for the role of online peer support communities. Psychiatric Quarterly 2022;93(2):613 View
  33. Milton A, Pera M. Into the Unknown: Exploration of Search Engines’ Responses to Users with Depression and Anxiety. ACM Transactions on the Web 2023 View
  34. Jiang Y, Huang J, Luo W, Chen K, Yu W, Zhang W, Huang C, Yang J, Huang Y. Prediction for odor gas generation from domestic waste based on machine learning. Waste Management 2023;156:264 View
  35. Kabir M, Ahmed T, Hasan M, Laskar M, Joarder T, Mahmud H, Hasan K. DEPTWEET: A typology for social media texts to detect depression severities. Computers in Human Behavior 2023;139:107503 View
  36. Hussain S. Three-Phase Methodology to Manage the COVID-19 Information for Classification of Mental Illness. Journal of Information & Knowledge Management 2022;21(Supp01) View
  37. Zhang X, Davarpanah N, Izadpanah S. The effect of neurolinguistic programming on academic achievement, emotional intelligence, and critical thinking of EFL learners. Frontiers in Psychology 2023;13 View
  38. Feldhege J, Wolf M, Moessner M, Bauer S. Psycholinguistic changes in the communication of adolescent users in a suicidal ideation online community during the COVID-19 pandemic. European Child & Adolescent Psychiatry 2023;32(6):975 View
  39. Weger R, Lossio-Ventura J, Rose-McCandlish M, Shaw J, Sinclair S, Pereira F, Chung J, Atlas L. Trends in Language Use During the COVID-19 Pandemic and Relationship Between Language Use and Mental Health: Text Analysis Based on Free Responses From a Longitudinal Study. JMIR Mental Health 2023;10:e40899 View
  40. Ahmed U, Lin J, Srivastava G. Fuzzy Contrast Set Based Deep Attention Network for Lexical Analysis and Mental Health Treatment. ACM Transactions on Asian and Low-Resource Language Information Processing 2022;21(5):1 View
  41. Ramachandran S, Brown L, Ring D. Tones and themes in Reddits posts discussing the opioid epidemic. Journal of Addictive Diseases 2022;40(4):552 View
  42. Norman Adams N. ‘Scraping’ Reddit posts for academic research? Addressing some blurred lines of consent in growing internet-based research trend during the time of Covid-19. International Journal of Social Research Methodology 2022:1 View
  43. Ahmed U, Lin J, Srivastava G. Deep Hierarchical Attention Active Learning for Mental Disorder Unlabeled Data in AIoMT. ACM Transactions on Sensor Networks 2023;19(3):1 View
  44. Currey D, Torous J. Digital Phenotyping Data to Predict Symptom Improvement and App Personalization: Protocol for a Prospective Study. JMIR Research Protocols 2022;11(11):e37954 View
  45. Yao Z, Ni Z, Zhang B, Du J. Do Informational and Emotional Elements Differ between Online Psychological and Physiological Disease Communities in China? A Comparative Study of Depression and Diabetes. International Journal of Environmental Research and Public Health 2022;19(4):2167 View
  46. Sun Y, Hamedani M, Javidi G, Sheybani E, Hao F. Examining COVID-19 vaccine attitude using SEM-Artificial Neural Networks approach: a case from Reddit community. Health Promotion International 2022;37(6) View
  47. Biester L, Matton K, Rajendran J, Provost E, Mihalcea R. Understanding the Impact of COVID-19 on Online Mental Health Forums. ACM Transactions on Management Information Systems 2021;12(4):1 View
  48. Zhang S, Liu M, Li Y, Chung J. Teens’ Social Media Engagement during the COVID-19 Pandemic: A Time Series Examination of Posting and Emotion on Reddit. International Journal of Environmental Research and Public Health 2021;18(19):10079 View
  49. Arias F, Zambrano Nunez M, Guerra-Adames A, Tejedor-Flores N, Vargas-Lombardo M. Sentiment Analysis of Public Social Media as a Tool for Health-Related Topics. IEEE Access 2022;10:74850 View
  50. Crema C, Attardi G, Sartiano D, Redolfi A. Natural language processing in clinical neuroscience and psychiatry: A review. Frontiers in Psychiatry 2022;13 View
  51. Joseph S, Citraro S, Morini V, Rossetti G, Stella M. Cognitive network neighborhoods quantify feelings expressed in suicide notes and Reddit mental health communities. Physica A: Statistical Mechanics and its Applications 2023;610:128336 View
  52. Rezapour M, Elmshaeuser S, Vellido A. Artificial intelligence-based analytics for impacts of COVID-19 and online learning on college students’ mental health. PLOS ONE 2022;17(11):e0276767 View
  53. Hammoud B, Semaan A, Elhajj I, Benova L. Can machine learning models predict maternal and newborn healthcare providers’ perception of safety during the COVID-19 pandemic? A cross-sectional study of a global online survey. Human Resources for Health 2022;20(1) View
  54. Mozes M, van der Vegt I, Kleinberg B. A repeated-measures study on emotional responses after a year in the pandemic. Scientific Reports 2021;11(1) View
  55. Hu M, Conway M. Perspectives of the COVID-19 Pandemic on Reddit: Comparative Natural Language Processing Study of the United States, the United Kingdom, Canada, and Australia. JMIR Infodemiology 2022;2(2):e36941 View
  56. Huang X, Wang S, Zhang M, Hu T, Hohl A, She B, Gong X, Li J, Liu X, Gruebner O, Liu R, Li X, Liu Z, Ye X, Li Z. Social media mining under the COVID-19 context: Progress, challenges, and opportunities. International Journal of Applied Earth Observation and Geoinformation 2022;113:102967 View
  57. Bae Y, Shim M, Lee W. Schizophrenia Detection Using Machine Learning Approach from Social Media Content. Sensors 2021;21(17):5924 View
  58. Ahmed U, Lin J, Srivastava G. Hyper-graph-based attention curriculum learning using a lexical algorithm for mental health. Pattern Recognition Letters 2022;157:135 View
  59. Black C, Meng W, Yao L, Ben Miled Z. Inferring the patient’s age from implicit age clues in health forum posts. Journal of Biomedical Informatics 2022;125:103976 View
  60. Teague S, Shatte A, Weller E, Fuller-Tyszkiewicz M, Hutchinson D. Methods and Applications of Social Media Monitoring of Mental Health During Disasters: Scoping Review. JMIR Mental Health 2022;9(2):e33058 View
  61. Boettcher N. Studies of Depression and Anxiety Using Reddit as a Data Source: Scoping Review. JMIR Mental Health 2021;8(11):e29487 View
  62. Heyerdahl L, Lana B, Giles-Vernick T. The Impact of the Online COVID-19 Infodemic on French Red Cross Actors’ Field Engagement and Protective Behaviors: Mixed Methods Study. JMIR Infodemiology 2021;1(1):e27472 View
  63. Bonifazi G, Corradini E, Ursino D, Virgili L. New Approaches to Extract Information From Posts on COVID-19 Published on Reddit. International Journal of Information Technology & Decision Making 2022;21(05):1385 View
  64. Hollingdale J, Adamo N, Tierney K. Impact of COVID-19 for people living and working with ADHD: A brief review of the literature. AIMS Public Health 2021;8(4):581 View
  65. van der Maas M, Cho S, Nower L. Problem gambling message board activity and the legalization of sports betting in the US: A mixed methods approach. Computers in Human Behavior 2022;128:107133 View
  66. Ahmed U, Lin J, Srivastava G. Graph Attention Network for Text Classification and Detection of Mental Disorder. ACM Transactions on the Web 2023;17(3):1 View
  67. Huang C, Bandyopadhyay A, Fan W, Miller A, Gilbertson-White S, Chen Z. Mental toll on working women during the COVID-19 pandemic: An exploratory study using Reddit data. PLOS ONE 2023;18(1):e0280049 View
  68. Alanazi S, Khaliq A, Ahmad F, Alshammari N, Hussain I, Zia M, Alruwaili M, Rayan A, Alsayat A, Afsar S. Public’s Mental Health Monitoring via Sentimental Analysis of Financial Text Using Machine Learning Techniques. International Journal of Environmental Research and Public Health 2022;19(15):9695 View
  69. Leung Y, Khalvati F. Exploring COVID-19–Related Stressors: Topic Modeling Study. Journal of Medical Internet Research 2022;24(7):e37142 View
  70. Ćosić K, Popović S, Šarlija M, Kesedžić I, Gambiraža M, Dropuljić B, Mijić I, Henigsberg N, Jovanovic T. AI-Based Prediction and Prevention of Psychological and Behavioral Changes in Ex-COVID-19 Patients. Frontiers in Psychology 2021;12 View
  71. Liu R. Early Warning Model of College Students' Psychological Crises Based on Big Data Mining and SEM. International Journal of Information Technologies and Systems Approach 2023;16(2):1 View
  72. Moukaddam N, Sano A, Salas R, Hammal Z, Sabharwal A. Turning data into better mental health: Past, present, and future. Frontiers in Digital Health 2022;4 View
  73. Laestadius L, Bishop A, Gonzalez M, Illenčík D, Campos-Castillo C. Too human and not human enough: A grounded theory analysis of mental health harms from emotional dependence on the social chatbot Replika. New Media & Society 2022:146144482211420 View
  74. Garcia C, Amador Ayala J, Diaz Roldan K, Bavarian N. Exploring Reddit conversations about mental health difficulties among college students during the COVID-19 pandemic. Journal of American College Health 2022:1 View
  75. Harvey D, Lobban F, Rayson P, Warner A, Jones S. Natural Language Processing Methods and Bipolar Disorder: Scoping Review. JMIR Mental Health 2022;9(4):e35928 View
  76. Jones R, Mougouei D, Evans S. Understanding the emotional response to COVID‐19 information in news and social media: A mental health perspective. Human Behavior and Emerging Technologies 2021;3(5):832 View
  77. Adil Jaafar E, Abdul-Salam Jasim H. A corpus-based stylistic analysis of online suicide notes retrieved from Reddit. Cogent Arts & Humanities 2022;9(1) View
  78. Evans S, Jones R, Alkan E, Sichman J, Haque A, de Oliveira F, Mougouei D, Yan Z. The Emotional Impact of COVID-19 News Reporting: A Longitudinal Study Using Natural Language Processing. Human Behavior and Emerging Technologies 2023;2023:1 View
  79. Noichl M. How localized are computational templates? A machine learning approach. Synthese 2023;201(3) View
  80. Zheng Z, Xie Z, Goniewicz M, Rahman I, Li D. Potential Impact of the COVID-19 Pandemic on Public Perception of Water Pipes on Reddit: Observational Study. JMIR Infodemiology 2023;3:e40913 View
  81. Dhelim S, Chen L, Das S, Ning H, Nugent C, Leavey G, Pesch D, Bantry-White E, Burns D. Detecting Mental Distresses Using Social Behavior Analysis in the Context of COVID-19: A Survey. ACM Computing Surveys 2023;55(14s):1 View
  82. Zhu J, Li Z, Zhang X, Zhang Z, Hu B. Public Attitudes Toward Anxiety Disorder on Sina Weibo: Content Analysis. Journal of Medical Internet Research 2023;25:e45777 View
  83. Xu H, Xu X, Pittock J. Understanding social issues in a new approach: The role of social media in displacement and resettlement. Social Sciences & Humanities Open 2023;7(1):100463 View
  84. Kim S, Warren E, Jahangir T, Al-Garadi M, Guo Y, Yang Y, Lakamana S, Sarker A. Characteristics of Intimate Partner Violence and Survivor’s Needs During the COVID-19 Pandemic: Insights From Subreddits Related to Intimate Partner Violence. Journal of Interpersonal Violence 2023;38(17-18):9693 View
  85. Laureate C, Buntine W, Linger H. A systematic review of the use of topic models for short text social media analysis. Artificial Intelligence Review 2023;56(12):14223 View
  86. Nicholson D, Alquaddoomi F, Rubinetti V, Greene C. Changing word meanings in biomedical literature reveal pandemics and new technologies. BioData Mining 2023;16(1) View
  87. Zhu J, Yalamanchi N, Jin R, Kenne D, Phan N. Investigating COVID-19’s Impact on Mental Health: Trend and Thematic Analysis of Reddit Users’ Discourse. Journal of Medical Internet Research 2023;25:e46867 View
  88. Liang Y, Liu L, Ji Y, Huangfu L, Zeng D. Identifying emotional causes of mental disorders from social media for effective intervention. Information Processing & Management 2023;60(4):103407 View
  89. Byers M, Trahan M, Nason E, Eigege C, Moore N, Washburn M, Metsis V. Detecting Intensity of Anxiety in Language of Student Veterans with Social Anxiety Using Text Analysis. Journal of Technology in Human Services 2023;41(2):125 View
  90. Zheng Q, Liu F, Xu S, Hu J, Lu H, Liu T. Artificial intelligence empowering research on loneliness, depression and anxiety — Using Covid-19 as an opportunity. Journal of Safety Science and Resilience 2023;4(4):396 View
  91. Yao X, Mikhelson M, Micheletti M, Choi E, Watkins S, Thomaz E, de Barbaro K. Understanding Postpartum Parents' Experiences via Two Digital Platforms. Proceedings of the ACM on Human-Computer Interaction 2023;7(CSCW1):1 View
  92. Singh B, Vaswani K, Paruchuri S, Saarikallio S, Kumaraguru P, Alluri V, Ptaszynski M. “Help! I need some music!”: Analysing music discourse & depression on Reddit. PLOS ONE 2023;18(7):e0287975 View
  93. Singh J, Singh N, Fouda M, Saba L, Suri J. Attention-Enabled Ensemble Deep Learning Models and Their Validation for Depression Detection: A Domain Adoption Paradigm. Diagnostics 2023;13(12):2092 View
  94. Thornton C, Lanyi K, Wilkins G, Potter R, Hunter E, Kolehmainen N, Pearson F. Scoping the Priorities and Concerns of Parents: An Infodemiology Study of Posts on Mumsnet and Reddit (Preprint). Journal of Medical Internet Research 2023 View
  95. Malloch Y, Zhang J, Qian S. Effects of social comparison direction, comparison distance, and message framing on health behavioral intention in online support groups. Cyberpsychology: Journal of Psychosocial Research on Cyberspace 2023;17(3) View
  96. Qiao W, Yan Z, Wang X. When the clock chimes: The impact of on-the-hour effects on user anxiety content generation in social media platforms. Journal of Affective Disorders 2024;344:69 View
  97. Ahmed A, Xi R, Hou M, Shah S, Hameed S. Harnessing Big Data Analytics for Healthcare: A Comprehensive Review of Frameworks, Implications, Applications, and Impacts. IEEE Access 2023;11:112891 View
  98. Pendse S, Kumar N, De Choudhury M. Marginalization and the Construction of Mental Illness Narratives Online: Foregrounding Institutions in Technology-Mediated Care. Proceedings of the ACM on Human-Computer Interaction 2023;7(CSCW2):1 View
  99. Kodati D, Dasari C. Negative emotion detection on social media during the peak time of COVID-19 through deep learning with an auto-regressive transformer. Engineering Applications of Artificial Intelligence 2024;127:107361 View
  100. Liu Y, Chen S. Advanced intelligent health advice with informative summaries to facilitate treatment decision-making. The Electronic Library 2023;41(5):662 View
  101. Wyant K, Moshontz H, Ward S, Fronk G, Curtin J. Acceptability of Personal Sensing Among People With Alcohol Use Disorder: Observational Study. JMIR mHealth and uHealth 2023;11:e41833 View
  102. Sun J, Dong Q, Wang S, Zheng Y, Liu X, Lu T, Yuan K, Shi J, Hu B, Lu L, Han Y. Artificial intelligence in psychiatry research, diagnosis, and therapy. Asian Journal of Psychiatry 2023;87:103705 View
  103. Dolatabadi E, Moyano D, Bales M, Spasojevic S, Bhambhoria R, Bhatti J, Debnath S, Hoell N, Li X, Leng C, Nanda S, Saab J, Sahak E, Sie F, Uppal S, Vadlamudi N, Vladimirova A, Yakimovich A, Yang X, Kocak S, Cheung A. Using Social Media to Help Understand Patient-Reported Health Outcomes of Post–COVID-19 Condition: Natural Language Processing Approach. Journal of Medical Internet Research 2023;25:e45767 View
  104. Malgaroli M, Tseng E, Hull T, Jennings E, Choudhury T, Simon N. Association of Health Care Work With Anxiety and Depression During the COVID-19 Pandemic: Structural Topic Modeling Study. JMIR AI 2023;2:e47223 View
  105. Yang G, King S, Lin H, Goldstein R. Emotional Expression on Social Media Support Forums for Substance Cessation: Observational Study of Text-Based Reddit Posts. Journal of Medical Internet Research 2023;25:e45267 View
  106. Gu D, Liu H, Zhao H, Yang X, Li M, Liang C. A deep learning and clustering‐based topic consistency modeling framework for matching health information supply and demand. Journal of the Association for Information Science and Technology 2023 View
  107. Shoults C, Dawson L, Hayes C, Eswaran H. Comparing the Discussion of Telehealth in Two Social Media Platforms: Social Listening Analysis. Telemedicine Reports 2023;4(1):236 View
  108. Britt R, Franco C, Jones N. Trends and challenges within Reddit and health communication research: A systematic review. Communication and the Public 2023;8(4):402 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