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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"

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. 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
  2. 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
  3. Han D, Lee S, Seo D. Using machine learning to predict opioid misuse among U.S. adolescents. Preventive Medicine 2020;130:105886
    CrossRef
  4. Zhao H, Muthupandi S, Kumara S. Legitimate or Illicit? Managing Online Pharmacies Through Web Analytics (Preprint). Journal of Medical Internet Research 2019;
    CrossRef
  5. 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
  6. 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
  7. Al-Rawi A. The fentanyl crisis & the dark side of social media. Telematics and Informatics 2019;45:101280
    CrossRef
  8. Mackey TK. Opioids and the Internet: Convergence of Technology and Policy to Address the Illicit Online Sales of Opioids. Health Services Insights 2018;11:117863291880099
    CrossRef
  9. 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

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

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