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

Infodemiology and Infoveillance (1497) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1836) Substance Abuse (502) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1104) Machine Learning (1886)

Published on in Vol 20, No 4 (2018): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10029, first published .
Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access

Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access

Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access

Authors of this article:

Tim Mackey1 Author Orcid Image ;   Janani Kalyanam2 Author Orcid Image ;   Josh Klugman3 Author Orcid Image ;   Ella Kuzmenko3 Author Orcid Image ;   Rashmi Gupta4 Author Orcid Image
Article Authors Cited by (68) Tweetations (21) Metrics

Journals

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  20. Shah N, Li J, Mackey T. An Unsupervised Machine Learning Approach for the Detection and Characterization of Illicit Drug-Dealing Comments and Interactions on Instagram. Substance Abuse 2022;43(1):273 View
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  22. Haupt M, Cuomo R, Li J, Nali M, Mackey T. The influence of social media affordances on drug dealer posting behavior across multiple social networking sites (SNS). Computers in Human Behavior Reports 2022;8:100235 View
  23. Hu C, Liu B, Ye Y, Li X. Fine-grained classification of drug trafficking based on Instagram hashtags. Decision Support Systems 2023;165:113896 View
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  27. Delir Haghighi P, Burstein F, Urquhart D, Cicuttini F. Investigating Individuals’ Perceptions Regarding the Context Around the Low Back Pain Experience: Topic Modeling Analysis of Twitter Data. Journal of Medical Internet Research 2021;23(12):e26093 View
  28. Long C, Kumaran H, Goh K, Bakrin F, Ming L, Rehman I, Dhaliwal J, Hadi M, Sim Y, Tan C. Online Pharmacies Selling Prescription Drugs: Systematic Review. Pharmacy 2022;10(2):42 View
  29. Coombs T, Abdelkader A, Ginige T, Van Calster P, Assi S. Understanding synthetic drug analogues among the homeless population from the perspectives of the public: thematic analysis of Twitter data. Journal of Substance Use 2024;29(4):501 View
  30. Nam K, Shin H, Bae B, Kim E. Survival of Illegal Fentanyl Sales in the Twittersphere and Tumblr Sphere: A Cross-Sectional Forensics Approach. Drug Targets and Therapeutics 2023;2(1):62 View
  31. Kasson E, Filiatreau L, Kaiser N, Davet K, Taylor J, Garg S, El Sherief M, Aledavood T, De Choudhury M, Cavazos-Rehg P. Using Social Media to Examine Themes Surrounding Fentanyl Misuse and Risk Indicators. Substance Use & Misuse 2023;58(7):920 View
  32. Limbu Y, Huhmann B. Illicit Online Pharmacies: A Scoping Review. International Journal of Environmental Research and Public Health 2023;20(9):5748 View
  33. Raza S, Schwartz B, Lakamana S, Ge Y, Sarker A. A framework for multi-faceted content analysis of social media chatter regarding non-medical use of prescription medications. BMC Digital Health 2023;1(1) View
  34. Luca M, Campedelli G, Centellegher S, Tizzoni M, Lepri B. Crime, inequality and public health: a survey of emerging trends in urban data science. Frontiers in Big Data 2023;6 View
  35. Nali M, McMann T, Purushothaman V, Li Z, Cuomo R, Liang B, Mackey T. Assessing Characteristics and Compliance of Online Delta-8 Tetrahydrocannabinol Product Sellers. Cannabis and Cannabinoid Research 2024;9(4):e1132 View
  36. Boehnke J, Loupos P, Gu Y. Social drug dealing: how peer-to-peer fintech platforms have transformed illicit drug markets. Annals of Operations Research 2024;335(2):645 View
  37. Carabot F, Fraile-Martínez O, Donat-Vargas C, Santoma J, Garcia-Montero C, Pinto da Costa M, Molina-Ruiz R, Ortega M, Alvarez-Mon M, Alvarez-Mon M. Understanding Public Perceptions and Discussions on Opioids Through Twitter: Cross-Sectional Infodemiology Study. Journal of Medical Internet Research 2023;25:e50013 View
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  40. Nali M, Purushothaman V, Li Z, Larsen M, Cuomo R, Yang J, Mackey T. Identification and Characterization of Illegal Sales of Cannabis and Nicotine Delivery Products on Telegram Messaging Platform. Nicotine and Tobacco Research 2024;26(6):771 View
  41. Haupt M, Cuomo R, Cui M, Mackey T. Is This Safe? Examining Safety Assessments of Illicit Drug Purchasing on Social Media Using Conjoint Analysis. Substance Use & Misuse 2024;59(7):999 View
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Books/Policy Documents

  1. Baratto G. The Illegal Trade of Medicines on Social Media. View
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