Funded by the California Tobacco-Related Disease Research Program through a High-Impact Pilot Grant at UC San Diego - School of Medicine, this project uses digital surveillance tools, big data, machine learning, and other interdisciplinary approaches to detect and characterize how the industry mobilizes on social media platforms to influence tobacco control policy
Meet our interdisciplinary research team members that were involved in this project from shared fields of public health, cognitive science, data science, and policy and legal analysis.
This section includes academic papers that have been published, are in press, are under review, or are in progress
This section includes oral and poster presentations at conferences, news and media coverage, and other research dissemination activities
Assessing compliance of online vaping shops to the 2019 Massachusetts product sales ban
Association between tobacco retail density and prevalence of smoking, vaping in California
Characterizing and assessing compliance of online vaping sales in the context of state sales bans
Characterization of ENDS industry coordination and influence on CA tobacco control policy on Facebook
Variation in the association between smoking prevalence and number of tobacco retailers in California
Machine Learning Analysis for the Characterization of Vape/E-cigarette Marketing and Sales on Instagram
This section includes project datasets that can be downloaded for further research purposes. Due to different restrictions, some of the data has had fields removed. For details please contact study team