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

New Methods (909) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570) Machine Learning (1385) Alcohol Abuse, Alcoholism Prevention and Recovery (284) Substance Abuse (382)

Published on in Vol 22, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21916, first published .
Associations Between Substance Use and Instagram Participation to Inform Social Network–Based Screening Models: Multimodal Cross-Sectional Study

Associations Between Substance Use and Instagram Participation to Inform Social Network–Based Screening Models: Multimodal Cross-Sectional Study

Associations Between Substance Use and Instagram Participation to Inform Social Network–Based Screening Models: Multimodal Cross-Sectional Study

Authors of this article:

Brandon G Bergman1 Author Orcid Image ;   Weiyi Wu2 Author Orcid Image ;   Lisa A Marsch3 Author Orcid Image ;   Benjamin S Crosier4 Author Orcid Image ;   Timothy C DeLise5 Author Orcid Image ;   Saeed Hassanpour4 Author Orcid Image
Article Authors Cited by (6) Tweetations (11) Metrics

Journals

  1. Ricard B, Hassanpour S. Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes. Journal of Medical Internet Research 2021;23(9):e27314 View
  2. Wu X, Du J, Jiang H, Zhao M. Application of Digital Medicine in Addiction. Journal of Shanghai Jiaotong University (Science) 2022;27(2):144 View
  3. Park S, Yon H, Ban C, Shin H, Eum S, Lee S, Shin Y, Shin J, Koyanagi A, Jacob L, Smith L, Min C, Yeniova A, Kim S, Lee J, Hadalin V, Kwon R, Koo M, Fond G, Boyer L, Kim S, Hahn J, Kim N, Lefkir E, Bondeville V, Rhee S, Shin J, Yon D, Woo H. National trends in alcohol and substance use among adolescents from 2005 to 2021: a Korean serial cross-sectional study of one million adolescents. World Journal of Pediatrics 2023;19(11):1071 View
  4. Severson M, Onanong S, Dolezal A, Bartelt-Hunt S, Snow D, McFadden L. Analysis of Wastewater Samples to Explore Community Substance Use in the United States: Pilot Correlative and Machine Learning Study. JMIR Formative Research 2023;7:e45353 View
  5. Yang E, Kornfield R, Liu Y, Chih M, Sarma P, Gustafson D, Curtin J, Shah D. Using Machine Learning of Online Expression to Explain Recovery Trajectories: Content Analytic Approach to Studying a Substance Use Disorder Forum. Journal of Medical Internet Research 2023;25:e45589 View
  6. 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