A Machine Learning Approach for the Detection and Characterization of Illicit Drug Dealers on Instagram: Model Evaluation Study.

Journal: Journal of medical Internet research
PMID: 31199298

Abstract

BACKGROUND: Social media use is now ubiquitous, but the growth in social media communications has also made it a convenient digital platform for drug dealers selling controlled substances, opioids, and other illicit drugs. Previous studies and news investigations have reported the use of popular social media platforms as conduits for opioid sales. This study uses deep learning to detect illicit drug dealing on the image and video sharing platform Instagram.

Authors

  • Jiawei Li
    School of Chemistry & Chemical Engineering, College of Guangling, Yangzhou University Yangzhou 225002 PR China zhuxiashi@sina.com.
  • Qing Xu
    Department of Reproductive Medicine, Zigong Hospital of Women and Children Health Care, Zigong, China.
  • Neal Shah
    Global Health Policy Institute, La Jolla, CA, United States.
  • Tim K Mackey
    Department of Anesthesiology, University of California, San Diego, School of Medicine, San Diego, CA, USA; Division of Global Public Health, University of California, San Diego, School of Medicine, Department of Medicine, San Diego, CA, USA; Global Health Policy Institute, San Diego, CA, USA. Electronic address: tmackey@ucsd.edu.

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