Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24486, first published .
Demystifying the Dark Web Opioid Trade: Content Analysis on Anonymous Market Listings and Forum Posts

Demystifying the Dark Web Opioid Trade: Content Analysis on Anonymous Market Listings and Forum Posts

Demystifying the Dark Web Opioid Trade: Content Analysis on Anonymous Market Listings and Forum Posts

Journals

  1. Akbarialiabad H, Bastani B, Taghrir M, Paydar S, Ghahramani N, Kumar M. Threats to Global Mental Health From Unregulated Digital Phenotyping and Neuromarketing: Recommendations for COVID-19 Era and Beyond. Frontiers in Psychiatry 2021;12 View
  2. Sirola A, Nuckols J, Nyrhinen J, Wilska T. The use of the Dark Web as a COVID-19 information source: A three-country study. Technology in Society 2022;70:102012 View
  3. Zambiasi D. Drugs on the Web, Crime in the Streets. The Impact of Shutdowns of Dark Net Marketplaces on Street Crime. Journal of Economic Behavior & Organization 2022;202:274 View
  4. Wang C, Shen Y, Li Y, Zhang M, Hu M, Zheng J. A systematic empirical study on word embedding based methods in discovering Chinese black keywords. Engineering Applications of Artificial Intelligence 2023;125:106775 View
  5. Gray E, Erickson M, Bindler R, Eti D, Wilson M. Experiencing COMFORT: Perceptions of Virtually-delivered Nonpharmacologic Therapies in Adults Prescribed Opioids for Chronic Pain. Pain Management Nursing 2023;24(4):469 View
  6. Boekhout H, Blokland A, Takes F. Early warning signals for predicting cryptomarket vendor success using dark net forum networks. Scientific Reports 2024;14(1) View
  7. Sangher K, Singh A, Pandey H. LSTM and BERT based transformers models for cyber threat intelligence for intent identification of social media platforms exploitation from darknet forums. International Journal of Information Technology 2024;16(8):5277 View
  8. Rolf B, Beier A, Jackson I, Müller M, Reggelin T, Stuckenschmidt H, Lang S. A review on unsupervised learning algorithms and applications in supply chain management. International Journal of Production Research 2025;63(5):1933 View
  9. Soshnikov S, Bekker S, Idrisov B, Vlassov V. Association of Drugs for Sale on the Internet and Official Health Indicators: Darknet Parsing and Correlational Study. JMIR Formative Research 2024;8:e56006 View

Conference Proceedings

  1. Dalvi A, Shah V, Gandhi D, Shah S, Bhirud S. 2022 International Conference on Trends in Quantum Computing and Emerging Business Technologies (TQCEBT). Name Entity Recognition (NER) Based Drug Related Page Classification on Dark Web View
  2. Hu Y, Wu M, Huang Z, Li J, Ge X, Sha Y. Proceedings of the ACM Web Conference 2024. Euphemism Identification via Feature Fusion and Individualization View
  3. M S, G M, V P, S P, K S. 2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM). Tor-Quest (The Onion Router Crawler) View
  4. Zha M, Lin Z, Tang S, Liao X, Nan Y, Wang X. Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security. Understanding Cross-Platform Referral Traffic for Illicit Drug Promotion View
  5. Hasanti F, Osman M, Rahman M, Darus M, Mohd N. 2024 IEEE International Conference on Computing (ICOCO). A Comprehensive Study on Emerging Trends of Dark Web Marketplaces and Forums View
  6. Wang H, Li Y, Huang R, Mi X. Proceedings of the ACM on Web Conference 2025. Detecting and Understanding the Promotion of Illicit Goods and Services on Twitter View