Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions
Keywords:Measuring predictability of real world phenomena based on social media, e.g., spanning politics, finance, and health, Subjectivity in textual data; sentiment analysis; polarity/opinion identification and extraction, linguistic analyses of social media behavior, Text categorization; topic recognition; demographic/gender/age identification
AbstractCannabis legalization has been welcomed by many U.S. states but its role in escalation from tobacco e-cigarette use to cannabis vaping is unclear. Meanwhile, cannabis vaping has been associated with new lung diseases and rising adolescent use. To understand the impact of cannabis legalization on escalation, we design an observational study to estimate the causal effect of recreational cannabis legalization on the development of pro-cannabis attitude for e-cigarette users. We collect and analyze Twitter data which contains opinions about cannabis and JUUL, a very popular e-cigarette brand. We use weakly supervised learning for personal tweet filtering and classification for stance detection. We discover that recreational cannabis legalization policy has an effect on increased development of pro-cannabis attitudes for users already in favor of e-cigarettes.
How to Cite
Adhikari, S., Uppal, A., Mermelstein, R., Berger-Wolf, T., & Zheleva, E. (2021). Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions. Proceedings of the International AAAI Conference on Web and Social Media, 15(1), 14-25. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/18037