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

Infodemiology and Infoveillance (1558) Substance Abuse (530) Machine Learning (2076) Alcohol Abuse, Alcoholism Prevention and Recovery (340) Mass Media/Social Media Communication and Campaigns (574) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Natural Language Processing (917) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Methods and New Tools in Mental Health Research (558)

Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27314, first published .
Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes

Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes

Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes

Authors of this article:

Benjamin Joseph Ricard1 Author Orcid Image ;   Saeed Hassanpour1, 2, 3 Author Orcid Image
Article Authors Cited by (15) Tweetations (14) Metrics

Journals

  1. Ang C, Venkatachala R. Generalizability of Machine Learning to Categorize Various Mental Illness Using Social Media Activity Patterns. Societies 2023;13(5):117 View
  2. Chi Y, Chen H. Investigating Substance Use via Reddit: Systematic Scoping Review. Journal of Medical Internet Research 2023;25:e48905 View
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  4. Carabot F, Donat-Vargas C, Santoma-Vilaclara J, Ortega M, García-Montero C, Fraile-Martínez O, Zaragoza C, Monserrat J, Alvarez-Mon M, Alvarez-Mon M. Exploring Perceptions About Paracetamol, Tramadol, and Codeine on Twitter Using Machine Learning: Quantitative and Qualitative Observational Study. Journal of Medical Internet Research 2023;25:e45660 View
  5. Chart-Pascual J, Montero-Torres M, Ortega M, Mar-Barrutia L, Zorrilla Martinez I, Alvarez-Mon M, Gonzalez-Pinto A, Alvarez-Mon M. Areas of interest and sentiment analysis towards second generation antipsychotics, lithium and mood stabilizing anticonvulsants: Unsupervised analysis using Twitter. Journal of Affective Disorders 2024;351:649 View
  6. Chen A, Wang L, Johnny S, Wong S, Chaliparambil R, Conway M, Glass J. Stigma and Behavior Change Techniques in Substance Use Recovery: Qualitative Study of Social Media Narratives. JMIR Formative Research 2025;9:e57468 View
  7. Achuthan K, Khobragade S. Content dynamics and emotional engagement in online zero waste communities: a longitudinal study. Cities 2025;165:106119 View
  8. Shah M, Acaf Y, Mackert M. Understanding conversations on alcohol across diverse Reddit communities: a computational analysis. Journal of Computational Social Science 2025;8(4) View
  9. Jaiswal A, Amin S, Amin S, Lee D, Park S, Pokhrel P. Public Engagement with Lung Cancer Screening Information: Topic Modeling of Lung Cancer-Related Reddit Posts. Current Oncology 2025;32(10):529 View
  10. Bharadwaj H, Dahiya D, Dalal P, Fuad M, Raza H, Ibrahim M, Dhali A, Hasan F, Sokhal B, Yagnik K, Pinnam B, Gohar F, Ali H. Artificial Intelligence in Population-Level Gastroenterology and Hepatology: A Comprehensive Review of Public Health Applications and Quantitative Impact. Digestive Diseases and Sciences 2025 View

Books/Policy Documents

  1. Poorni R, Madhavan P. Computational Intelligence in Data Science. View
  2. Alen G, Riordan B, Anderson-Luxford D, Kuntsche E. New Directions in Addiction Science. View
  3. Emond J, Chester J, Noel J, Allem J, Bushman B, Primack B, Sargent J. Handbook of Children and Screens. View

Conference Proceedings

  1. M P, S P, Palarimath S, Deepa D, D K, M M. 2024 International Conference on Expert Clouds and Applications (ICOECA). Detection of Alcohol Drug Consumption Among Youngsters using Eye Gazing Movement and Deep Learning Techniques View
  2. Huang X, Dai Z, Wang K, Luo X. Proceedings of the 2024 9th International Conference on Mathematics and Artificial Intelligence. Machine Learning-Based Prediction of Binge Drinking among Adults in the United State: Analysis of the 2022 Health Information National Trends Survey View