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JMIR Public Health and Surveillance|August 5, 2020
Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and InstagramTim Ken Mackey, Jiawei Li, Vidya Purushothaman, et al.JMIR Formative Research|December 24, 2021
Campus Smoking Policies and Smoking-Related Twitter Posts Originating From California Public Universities: Retrospective StudyJoshua S Yang, Raphael E Cuomo, Vidya Purushothaman, et al.JMIR Public Health and Surveillance|June 4, 2020
Machine Learning to Detect Self-Reporting of Symptoms, Testing Access, and Recovery Associated With COVID-19 on Twitter: Retrospective Big Data Infoveillance StudyTim Mackey, Vidya Purushothaman, Jiawei Li, et al.Nicotine & Tobacco Research : Official Journal of the Society for Research on Nicotine and Tobacco|December 14, 2023
Identification and Characterization of Illegal Sales of Cannabis and Nicotine Delivery Products on Telegram Messaging PlatformMatthew C Nali, Vidya Purushothaman, Zhuoran Li, et al.Journal of Psychoactive Drugs|January 5, 2025
Identification of Cannabis Product Characteristics and Pricing on Dark Web MarketsMatthew C Nali, Zhuoran Li, Vidya Purushothaman, et al.Cannabis and Cannabinoid Research|May 18, 2023
Assessing Characteristics and Compliance of Online Delta-8 Tetrahydrocannabinol Product SellersMatthew C Nali, Tiana J McMann, Vidya Purushothaman, et al.Pageof 3