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

Public (e)Health, Digital Epidemiology and Public Health Informatics (1153) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1999) Infodemiology and Infoveillance (1617) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (232) Public Health Informatics (155) Pharmacovigilance (185) Machine Learning (2308)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43630, first published .
Hand holding a smartphone displaying the Twitter logo on a bright blue screen.

Automating Detection of Drug-Related Harms on Social Media: Machine Learning Framework

Automating Detection of Drug-Related Harms on Social Media: Machine Learning Framework

Authors of this article:

Andrew Fisher1 Author Orcid Image ;   Matthew Maclaren Young2, 3, 4 Author Orcid Image ;   Doris Payer2 Author Orcid Image ;   Karen Pacheco5 Author Orcid Image ;   Chad Dubeau2 Author Orcid Image ;   Vijay Mago6 Author Orcid Image
Article Authors Cited by (13) Tweetations (6) Metrics

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  1. Castillo-Toledo C, Fraile-Martínez O, Donat-Vargas C, Lara-Abelenda F, Ortega M, Garcia-Montero C, Mora F, Alvarez-Mon M, Quintero J, Alvarez-Mon M. Insights from the Twittersphere: a cross-sectional study of public perceptions, usage patterns, and geographical differences of tweets discussing cocaine. Frontiers in Psychiatry 2024;15 View
  2. Amjad M, Graham S, McCormick K, Claborn K. AI and Big Data approaches to addressing the opioid crisis: a scoping review protocol. BMJ Open 2024;14(8):e084728 View
  3. Matoshi V, De Vuono M, Gaspari R, Kröll M, Jantscher M, Nicolardi S, Mazzola G, Rauch M, Sabol V, Salhofer E, Mariani R. One size fits all: Enhanced zero-shot text classification for patient listening on social media. Frontiers in Artificial Intelligence 2025;7 View
  4. Neveditsin N, Lingras P, Mago V, Xu J. Clinical insights: A comprehensive review of language models in medicine. PLOS Digital Health 2025;4(5):e0000800 View
  5. Dong F, Guo W, Liu J, Patterson T, Hong H. Pharmacovigilance in the digital age: gaining insight from social media data. Experimental Biology and Medicine 2025;250 View
  6. Griffiths P, Parry C, Ambekar A, Vicknasingam B, Basutu A, Myers B, Bo A, Dietze P, Douglas K, Ezard N, Fiore M, Hynes M, Jones C, Kent P, Mounteney J, Niaz K, Palczak K, Pascale A, Peacock A, Rychert M, Sturua L, Zhang Y. The Need to Revitalise Drug Use Monitoring to Keep Pace With a More Dynamic, Digitally Enabled and Globally Connected Drug Market. Drug and Alcohol Review 2026;45(1) View
  7. Nguyen V, Le H, Le G, Mai A, Nguyen T. Artificial intelligence innovations in substance use prevention on social media: A scoping review. Public Health 2026;254:106200 View
  8. Farber S. Digital Governance and Drug Policy: Analyzing the Integration of Artificial Intelligence in Liberal Drug Regimes. Contemporary Drug Problems 2026 View
  9. Palomino K, Berdugo C, Acuña J, Zayas-Castro J. Bi-objective location-allocation model of interventions in high drug consumption areas incorporating X topic modeling. Health Care Management Science 2026;29(2) View
  10. Dong F, Guo W, Liu J, Varghese A, Tong W, Patterson T, Hong H. BERT-Based Models for Normalization of Adverse Drug Event Expressions in Social Media to Standard Medical Terminology for Drug Safety Analysis. Big Data and Cognitive Computing 2026;10(5):141 View

Books/Policy Documents

  1. Gamaleldin M, Abdelhalim S, Abraham I. Pharmacovigilance - Facts, Challenges, Limitations and Opportunities. View
  2. Fernández-López L, Martínez Laorden E, Martín Sánchez F, Almela Rojo P, Navarro-Zaragoza J. Substance Abuse - New Compounds and New Problems. View

Conference Proceedings

  1. Phatangare S, Cherian M, Mishra D, Agarwal K, Balam H. 2026 6th Biennial International Conference on Nascent Technologies in Engineering (ICNTE). A Review on Social Media Threats and Its Emerging Solutions View