Investigating the Attitudes of Adolescents and Young Adults Towards JUUL: Computational Study Using Twitter Data.
Ryzen BensonMengke HuAnnie T ChenSubhadeep NagShu-Hong ZhuMike ConwayPublished in: JMIR public health and surveillance (2020)
Our findings suggest that a vast majority of Twitter users are not using JUUL to aid in smoking cessation nor do they mention the potential health benefits or detriments of JUUL use. Using machine learning algorithms to identify tweets containing underage JUUL mentions can support the timely surveillance of JUUL habits and opinions, further assisting youth-targeted public health intervention strategies.