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Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54433, first published .
Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach

Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach

Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach

Journals

  1. Ahmad M, Sidorov G, Amjad M, Ameer I, Batyrshin I. Opioid Crisis Detection in Social Media Discourse Using Deep Learning Approach. Information 2025;16(7):545 View
  2. Wojciechowski T. Social Learning Theory and Gateway Hypothesis as a Causal Pathway Linking Rule-Breaking Peer Association to Marijuana Use via Nicotine Vaping. Journal of Psychoactive Drugs 2026:1 View
  3. 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
  4. Lu L, Yu X, Xu Z, Kwon H, Reddy A, Xin H, Zhang S, Yang E, Li Y, Yang S. Foodie traps within facebook cannabis promotional posts: Deploying multimodal deep learning AIs to monitor audience engagement. Drug and Alcohol Dependence 2026;283:113128 View

Books/Policy Documents

  1. Fernández-López L, Martínez Laorden E, Martín Sánchez F, Almela Rojo P, Navarro-Zaragoza J. Substance Abuse - New Compounds and New Problems. View