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Citing this Article

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Published on 27.04.18 in Vol 20, No 4 (2018): April

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

Works citing "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"

Tim Mackey, Janani Kalyanam, Josh Klugman, Ella Kuzmenko, Rashmi Gupta

J Med Internet Res 2018 (Apr 27); 20(4):e10029 

According to Crossref, the following articles are citing this article (DOI 10.2196/10029):

(note that this is only a small subset of citations)

  1. . Opioids and the Internet: Convergence of Technology and Policy to Address the Illicit Online Sales of Opioids. Health Services Insights 2018;11:117863291880099
    CrossRef
  2. Zhao H, Muthupandi S, Kumara S. Managing Illicit Online Pharmacies: Web Analytics and Predictive Models Study. Journal of Medical Internet Research 2020;22(8):e17239
    CrossRef
  3. Arillotta D, Schifano F, Napoletano F, Zangani C, Gilgar L, Guirguis A, Corkery JM, Aguglia E, Vento A. Novel Opioids: Systematic Web Crawling Within the e-Psychonauts’ Scenario. Frontiers in Neuroscience 2020;14
    CrossRef
  4. Miklosik A, Kuchta M, Evans N, Zak S. Towards the Adoption of Machine Learning-Based Analytical Tools in Digital Marketing. IEEE Access 2019;7:85705
    CrossRef
  5. Penley B, Chen H, Eckel SF, Ozawa S. Characteristics of online pharmacies selling Adderall. Journal of the American Pharmacists Association 2021;61(1):e103
    CrossRef
  6. Anwar M, Khoury D, Aldridge AP, Parker SJ, Conway KP. Using Twitter to Surveil the Opioid Epidemic in North Carolina: An Exploratory Study. JMIR Public Health and Surveillance 2020;6(2):e17574
    CrossRef
  7. Xu Q, Cai M, Mackey TK. The illegal wildlife digital market: an analysis of Chinese wildlife marketing and sale on Facebook. Environmental Conservation 2020;47(3):206
    CrossRef
  8. Li J, Xu Q, Shah N, Mackey TK. A Machine Learning Approach for the Detection and Characterization of Illicit Drug Dealers on Instagram: Model Evaluation Study. Journal of Medical Internet Research 2019;21(6):e13803
    CrossRef
  9. Han D, Lee S, Seo D. Using machine learning to predict opioid misuse among U.S. adolescents. Preventive Medicine 2020;130:105886
    CrossRef
  10. Fittler A, Vida RG, Káplár M, Botz L. Consumers Turning to the Internet Pharmacy Market: Cross-Sectional Study on the Frequency and Attitudes of Hungarian Patients Purchasing Medications Online. Journal of Medical Internet Research 2018;20(8):e11115
    CrossRef
  11. . The fentanyl crisis & the dark side of social media. Telematics and Informatics 2019;45:101280
    CrossRef
  12. Liang Y, Guo B, Yu Z, Zheng X, Wang Z, Tang L. A multi-view attention-based deep learning system for online deviant content detection. World Wide Web 2021;24(1):205
    CrossRef
  13. . The convergence of social media and other communication technologies in the promotion of illicit and controlled drugs. Journal of Public Health 2022;44(1):e153
    CrossRef
  14. Raubenheimer JE, Riordan BC, Merrill JE, Winter T, Ward RM, Scarf D, Buckley NA. Hey Google! will New Zealand vote to legalise cannabis? Using Google Trends data to predict the outcome of the 2020 New Zealand cannabis referendum. International Journal of Drug Policy 2021;90:103083
    CrossRef
  15. Liang Y, Li H, Guo B, Yu Z, Zheng X, Samtani S, Zeng DD. Fusion of heterogeneous attention mechanisms in multi-view convolutional neural network for text classification. Information Sciences 2021;548:295
    CrossRef
  16. Vida RG, Merczel S, Jáhn E, Fittler A. Developing a framework regarding a complex risk based methodology in the evaluation of hazards associated with medicinal products sourced via the internet. Saudi Pharmaceutical Journal 2020;28(12):1733
    CrossRef
  17. Li Z, Du X, Liao X, Jiang X, Champagne-Langabeer T. Demystifying the Dark Web Opioid Trade: Content Analysis on Anonymous Market Listings and Forum Posts. Journal of Medical Internet Research 2021;23(2):e24486
    CrossRef
  18. . Sports Fans' Behavior on Twitter: A Big Data Analysis of Sentiments in the 2018 World Cup Final. Spor Bilimleri Araştırmaları Dergisi 2021;6(1):62
    CrossRef
  19. Jairoun AA, Al-Hemyari SS, Abdulla NM, El-Dahiyat F, Jairoun M, AL-Tamimi SK, Babar Z. Online medication purchasing during the Covid-19 pandemic: A pilot study from the United Arab Emirates. Journal of Pharmaceutical Policy and Practice 2021;14(1)
    CrossRef
  20. Shah N, Li J, Mackey TK. 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
    CrossRef
  21. Hu C, Yin M, Liu B, Li X, Ye Y. Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion. ACM Transactions on Intelligent Systems and Technology 2021;12(5):1
    CrossRef
  22. Haupt MR, Cuomo R, Li J, Nali M, Mackey TK. 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
    CrossRef
  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
    CrossRef
  24. Sullivan HW, O'Donoghue A, Mannis S, Carpenter AM. Character-space-limited online prescription drug communications: Four experimental studies. Research in Social and Administrative Pharmacy 2022;18(12):4092
    CrossRef
  25. Gadhia S, Richards GC, Marriott T, Rose J. Artificial intelligence and opioid use: a narrative review. BMJ Innovations 2023;9(2):78
    CrossRef
  26. Sansone A, Cuzin B, Jannini EA. Facing Counterfeit Medications in Sexual Medicine. A Systematic Scoping Review on Social Strategies and Technological Solutions. Sexual Medicine 2021;9(6):100437
    CrossRef
  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
    CrossRef
  28. Long CS, Kumaran H, Goh KW, Bakrin FS, Ming LC, Rehman IU, Dhaliwal JS, Hadi MA, Sim YW, Tan CS. Online Pharmacies Selling Prescription Drugs: Systematic Review. Pharmacy 2022;10(2):42
    CrossRef
  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 2023;:1
    CrossRef
  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
    CrossRef
  31. Kasson E, Filiatreau LM, 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
    CrossRef
  32. Limbu YB, Huhmann BA. Illicit Online Pharmacies: A Scoping Review. International Journal of Environmental Research and Public Health 2023;20(9):5748
    CrossRef
  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)
    CrossRef
  34. Luca M, Campedelli GM, 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
    CrossRef
  35. Nali MC, McMann TJ, Purushothaman V, Li Z, Cuomo RE, Liang BA, Mackey TK. Assessing Characteristics and Compliance of Online Delta-8 Tetrahydrocannabinol Product Sellers. Cannabis and Cannabinoid Research 2023;
    CrossRef
  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
    CrossRef
  37. Carabot F, Fraile-Martínez O, Donat-Vargas C, Santoma J, Garcia-Montero C, Pinto da Costa M, Molina-Ruiz RM, Ortega MA, Alvarez-Mon M, Alvarez-Mon MA. Understanding Public Perceptions and Discussions on Opioids Through Twitter: Cross-Sectional Infodemiology Study. Journal of Medical Internet Research 2023;25:e50013
    CrossRef
  38. Al-Hamid A, Tudor C, Assi S. Exploring profile, effects and toxicity of novel synthetic opioids and classical opioids via Twitter: A qualitative study. Emerging Trends in Drugs, Addictions, and Health 2024;4:100139
    CrossRef
  39. Haupt MR, Chiu M, Chang J, Li Z, Cuomo R, Mackey TK, Cresci S. Detecting nuance in conspiracy discourse: Advancing methods in infodemiology and communication science with machine learning and qualitative content coding. PLOS ONE 2023;18(12):e0295414
    CrossRef
  40. Nali MC, Purushothaman V, Li Z, Larsen MZ, Cuomo RE, Yang J, Mackey TK. Identification and Characterization of Illegal Sales of Cannabis and Nicotine Delivery Products on Telegram Messaging Platform. Nicotine and Tobacco Research 2023;
    CrossRef
  41. Haupt MR, Cuomo R, Cui M, Mackey TK. Is This Safe? Examining Safety Assessments of Illicit Drug Purchasing on Social Media Using Conjoint Analysis. Substance Use & Misuse 2024;59(7):999
    CrossRef
  42. Castillo-Toledo C, Fraile-Martínez O, Donat-Vargas C, Lara-Abelenda FJ, Ortega MA, Garcia-Montero C, Mora F, Alvarez-Mon M, Quintero J, Alvarez-Mon MA. 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
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/10029):

  1. . The Illegal Trade of Medicines on Social Media. 2020. Chapter 2:7
    CrossRef
  2. . Encyclopedia of Criminal Activities and the Deep Web. 2020. chapter 7:108
    CrossRef
  3. Simran K, Balakrishna P, Vinayakumar R, Soman KP. Security in Computing and Communications. 2020. Chapter 11:135
    CrossRef
  4. Peters W, Dehghantanha A, Parizi RM, Srivastava G. Handbook of Big Data Privacy. 2020. Chapter 6:109
    CrossRef