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

Journals

  1. Chou L, Chang K, Puspitasari I. Drug Abuse Research Trend Investigation with Text Mining. Computational and Mathematical Methods in Medicine 2020;2020:1 View
  2. Arillotta D, Schifano F, Napoletano F, Zangani C, Gilgar L, Guirguis A, Corkery J, Aguglia E, Vento A. Novel Opioids: Systematic Web Crawling Within the e-Psychonauts’ Scenario. Frontiers in Neuroscience 2020;14 View
  3. Song J, Han Y, Kim K, Song T. Social big data analysis of future signals for bullying in South Korea: Application of general strain theory. Telematics and Informatics 2020;54:101472 View
  4. Zhang L, Fan H, Peng C, Rao G, Cong Q. Sentiment Analysis Methods for HPV Vaccines Related Tweets Based on Transfer Learning. Healthcare 2020;8(3):307 View
  5. Ricard B, Marsch L, Crosier B, Hassanpour S. Exploring the Utility of Community-Generated Social Media Content for Detecting Depression: An Analytical Study on Instagram. Journal of Medical Internet Research 2018;20(12):e11817 View
  6. Miuli A, Stigliano G, Lalli A, Coladonato M, D’Angelo L, Esposito F, Cappello C, Pettorruso M, Martinotti G, Schifano F, Di Giannantonio M. “Purple Drank” (Codeine and Promethazine Cough Syrup): A Systematic Review of a Social Phenomenon with Medical Implications. Journal of Psychoactive Drugs 2020;52(5):453 View
  7. Chiauzzi E, Wicks P. Digital Trespass: Ethical and Terms-of-Use Violations by Researchers Accessing Data From an Online Patient Community. Journal of Medical Internet Research 2019;21(2):e11985 View
  8. Reuter K, Danve A, Deodhar A. Harnessing the power of social media: how can it help in axial spondyloarthritis research?. Current Opinion in Rheumatology 2019;31(4):321 View
  9. Nasralah T, El-Gayar O, Wang Y. Social Media Text Mining Framework for Drug Abuse: Development and Validation Study With an Opioid Crisis Case Analysis. Journal of Medical Internet Research 2020;22(8):e18350 View
  10. Nitzburg G, Weber I, Yom-Tov E. Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis. Journal of Medical Internet Research 2019;21(5):e10946 View
  11. Ding H, Sun C, Zeng J. Fuzzy Weighted Clustering Method for Numerical Attributes of Communication Big Data Based on Cloud Computing. Symmetry 2020;12(4):530 View
  12. Oram D, Tzilos Wernette G, Nichols L, Vydiswaran V, Zhao X, Chang T. Substance Use Among Young Mothers: An Analysis of Facebook Posts. JMIR Pediatrics and Parenting 2018;1(2):e10261 View
  13. Li J, Xu Q, Cuomo R, Purushothaman V, Mackey T. Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study. JMIR Public Health and Surveillance 2020;6(2):e18700 View
  14. Correia R, Wood I, Bollen J, Rocha L. Mining Social Media Data for Biomedical Signals and Health-Related Behavior. Annual Review of Biomedical Data Science 2020;3(1):433 View
  15. Mukherjee D, Shukla L, Saha P, Mahadevan J, Kandasamy A, Chand P, Benegal V, Murthy P. Tapentadol abuse and dependence in India. Asian Journal of Psychiatry 2020;49:101978 View
  16. Jordan S, Hovet S, Fung I, Liang H, Fu K, Tse Z. Using Twitter for Public Health Surveillance from Monitoring and Prediction to Public Response. Data 2018;4(1):6 View
  17. Bergman B, Wu W, Marsch L, Crosier B, DeLise T, Hassanpour S. Associations Between Substance Use and Instagram Participation to Inform Social Network–Based Screening Models: Multimodal Cross-Sectional Study. Journal of Medical Internet Research 2020;22(9):e21916 View
  18. Liang O, Chen Y, Bennett D, Yang C. Identifying self-management support needs for pregnant women with opioid misuse in online health communities: mixed-method analysis of online posts (Preprint). Journal of Medical Internet Research 2020 View
  19. Shubin S. Psychological features of adolescent digital activity on the example of social networks: the review of foreign studies. Pedagogy and Psychology of Education 2020;(3,2020):173 View
  20. Balsamo D, Bajardi P, Salomone A, Schifanella R. Patterns of Routes of Administration and Drug Tampering for Nonmedical Opioid Consumption: Data Mining and Content Analysis of Reddit Discussions. Journal of Medical Internet Research 2021;23(1):e21212 View
  21. Zhao Z, Zhang Y, Wang W. Impact of Smart City Planning and Construction on Economic and Social Benefits Based on Big Data Analysis. Complexity 2020;2020:1 View
  22. Eder M, Patten C, Brockman T, Hendricks D, Valdez-Soto M, Zavala-Rocha M, Amelang M, Wi C, Major-Elechi B, Balls-Berry J. Public feedback on a proposed statewide virtual translational research community. Journal of Clinical and Translational Science 2020;4(5):416 View
  23. Flores L, Young S. Regional variation in discussion of opioids on social media. Journal of Addictive Diseases 2021;39(3):316 View
  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
  27. Lundberg L, Grahn H. Research Trends, Enabling Technologies and Application Areas for Big Data. Algorithms 2022;15(8):280 View
  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
  38. Shoults C, Dawson L, Hayes C, Eswaran H. Comparing the Discussion of Telehealth in Two Social Media Platforms: Social Listening Analysis. Telemedicine Reports 2023;4(1):236 View
  39. Li X, Zhang J, Li B. Patterns in negative emotions, sleep disorders, and temperature: Evidence from microblog big data. Heliyon 2023;9(11):e21987 View
  40. Yang G, King S, Lin H, Goldstein R. Emotional Expression on Social Media Support Forums for Substance Cessation: Observational Study of Text-Based Reddit Posts. Journal of Medical Internet Research 2023;25:e45267 View
  41. Dipietro L, Gonzalez-Mego P, Ramos-Estebanez C, Zukowski L, Mikkilineni R, Rushmore R, Wagner T. The evolution of Big Data in neuroscience and neurology. Journal of Big Data 2023;10(1) View
  42. Kanan T, AbedAlghafer A, AlZu'bi S, Hawashin B, Mughaid A, Kanaan G, Kamruzzaman M. An Intelligent Health Care System for Detecting Drug Abuse in Social Media Platforms Based on Low Resource Language. IEEE/ACM Transactions on Audio, Speech, and Language Processing 2024;32:691 View
  43. 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 View
  44. Mullin A, Scott M, Vaccaro G, Floresta G, Arillotta D, Catalani V, Corkery J, Stair J, Schifano F, Guirguis A. Benzodiazepine Boom: Tracking Etizolam, Pyrazolam, and Flubromazepam from Pre-UK Psychoactive Act 2016 to Present Using Analytical and Social Listening Techniques. Pharmacy 2024;12(1):13 View
  45. León Méndez M, Padrón I, Fumero A, Marrero R. Effects of internet and smartphone addiction on cognitive control in adolescents and young adults: A systematic review of fMRI studies. Neuroscience & Biobehavioral Reviews 2024;159:105572 View
  46. Al-Ghannam R, Ykhlef M, Al-Dossari H. Robust Drug Use Detection on X: Ensemble Method with a Transformer Approach. Arabian Journal for Science and Engineering 2024 View
  47. Castillo-Toledo C, Fraile-Martínez O, Donat-Vargas C, Lara-Abelenda F, Ortega M, Garcia-Montero C, Mora F, Alvarez-Mon M, Quintero J, Alvarez-Mon M. 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 View
  48. Lokala U, Phukan O, Dastidar T, Lamy F, Daniulaityte R, Sheth A. Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study. JMIRx Med 2024;5:e48519 View
  49. Yuan Y, Kasson E, Taylor J, Cavazos-Rehg P, De Choudhury M, Aledavood T. Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach. JMIR Formative Research 2024;8:e54433 View
  50. Fuemmeler B, Miller C, Barsell D, Jain P, Shokouhi S, Montgomery A, Wheeler D, Kim S, Dahman B, Winn R. The Together for Health – Virginia Research Program: A multi-modal approach for population health assessment. Preventive Oncology & Epidemiology 2024;2(1) View

Books/Policy Documents

  1. Wolfson M, Wagoner K, Song E, Pankratz M, Azagba S. Substance Use Disorders. View
  2. de Alencar Almeida R, Carvalho D. Computational Neuroscience. View
  3. Spitzberg B, Tsou M, Jung C. The Handbook of Applied Communication Research. View
  4. Topçu Ç. Handbook of Research on Cyberchondria, Health Literacy, and the Role of Media in Society’s Perception of Medical Information. View
  5. Scheinfeld E, Crook B, Yang J. The International Encyclopedia of Health Communication. View
  6. Yi H, Bhuiyan T, Chellappan S. Smart Technologies for Sustainable and Resilient Ecosystems. View