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

Infodemiology and Infoveillance (1363) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1659) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (158) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1048) Infoveillance and Social Listening (212)

Published on in Vol 19, No 10 (2017): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/6426, first published .
Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data

Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data

Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data

Authors of this article:

Sunny Jung Kim1, 2 Author Orcid Image ;   Lisa A Marsch1, 2 Author Orcid Image ;   Jeffrey T Hancock3 Author Orcid Image ;   Amarendra K Das4 Author Orcid Image
Article Authors Cited by (62) Tweetations (37) Metrics

Journals

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  24. Mazel S, Zisman-Ilani Y, Hennig S, Garnick D, Nicholson J. Virtual Engagement in a Social Media Community of Mothers With Substance Use Disorders: Content Analysis. JMIR Formative Research 2021;5(6):e24353 View
  25. Magliaro C, Ahluwalia A. Biomedical Research on Substances of Abuse: The Italian Case Study. Alternatives to Laboratory Animals 2022;50(6):423 View
  26. Phelan C, Heyer J, Pfafman R, Kerrigan C, Tzilos Wernette G, Dombrowski L, Miller A, Pater J. The Work of Digital Social Re-entry in Substance Use Disorder Recovery. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
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  28. Niu S, McKim K, Palm Reed K. Education, Personal Experiences, and Advocacy. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  29. Abhinav Potineni . Inexpensive Detection of Substance Abuse Based on Social Media Data using Machine Learning. International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2022:01 View
  30. Shakeri Hossein Abad Z, Butler G, Thompson W, Lee J. Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk. Journal of Medical Internet Research 2022;24(1):e28749 View
  31. Rathinam F, Khatua S, Siddiqui Z, Malik M, Duggal P, Watson S, Vollenweider X. Using big data for evaluating development outcomes: A systematic map. Campbell Systematic Reviews 2021;17(3) View
  32. Walsh J, Dwumfour C, Cave J, Griffiths F. Spontaneously generated online patient experience data - how and why is it being used in health research: an umbrella scoping review. BMC Medical Research Methodology 2022;22(1) View
  33. Liu T, Giorgi S, Yadeta K, Schwartz H, Ungar L, Curtis B. Linguistic predictors from Facebook postings of substance use disorder treatment retention versus discontinuation. The American Journal of Drug and Alcohol Abuse 2022;48(5):573 View
  34. Bushman M, Godishala S, Hyzer R, Jerisha J, Jolliff A, Kaji E, Kerr B, Mathur A, Tsao O. Adolescent Health on Social Media and the Mentorship of Youth Investigators: Five Content Analysis Studies Conducted by Youth Investigators. JMIR Mental Health 2021;8(9):e29318 View
  35. Flores L, Young S. Ethical Perspectives in Using Technology-Enabled Research for Key HIV Populations in Rights-Constrained Settings. Current HIV/AIDS Reports 2023;20(3):148 View
  36. 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
  37. Bremer W, Plaisance K, Walker D, Bonn M, Love J, Perrone J, Sarker A. Barriers to opioid use disorder treatment: A comparison of self-reported information from social media with barriers found in literature. Frontiers in Public Health 2023;11 View
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Books/Policy Documents

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