Liu Pinxin, Lou Xubin, Xie Zidian, Shang Ce, Li Dongmei
Department of Computer Science, University of Rochester, Rochester, NY, United States.
Goergen Institute for Data Science, University of Rochester, Rochester, NY, United States.
JMIR Form Res. 2024 Jul 11;8:e51327. doi: 10.2196/51327.
On June 23, 2022, the US Food and Drug Administration announced a JUUL ban policy, to ban all vaping and electronic cigarette products sold by Juul Labs.
This study aims to understand public perceptions and discussions of this policy using Twitter (subsequently rebranded as X) data.
Using the Twitter streaming application programming interface, 17,007 tweets potentially related to the JUUL ban policy were collected between June 22, 2022, and July 25, 2022. Based on 2600 hand-coded tweets, a deep learning model (RoBERTa) was trained to classify all tweets into propolicy, antipolicy, neutral, and irrelevant categories. A deep learning model (M3 model) was used to estimate basic demographics (such as age and gender) of Twitter users. Furthermore, major topics were identified using latent Dirichlet allocation modeling. A logistic regression model was used to examine the association of different Twitter users with their attitudes toward the policy.
Among 10,480 tweets related to the JUUL ban policy, there were similar proportions of propolicy and antipolicy tweets (n=2777, 26.5% vs n=2666, 25.44%). Major propolicy topics included "JUUL causes youth addition," "market surge of JUUL," and "health effects of JUUL." In contrast, major antipolicy topics included "cigarette should be banned instead of JUUL," "against the irrational policy," and "emotional catharsis." Twitter users older than 29 years were more likely to be propolicy (have a positive attitude toward the JUUL ban policy) than those younger than 29 years.
Our study showed that the public showed different responses to the JUUL ban policy, which varies depending on the demographic characteristics of Twitter users. Our findings could provide valuable information to the Food and Drug Administration for future electronic cigarette and other tobacco product regulations.
2022年6月23日，美国食品药品监督管理局宣布了一项针对悦刻的禁令政策，禁止悦刻实验室销售的所有电子烟和电子烟产品。
本研究旨在利用推特（后更名为X）数据了解公众对该政策的看法和讨论。
使用推特流式应用程序编程接口，在2022年6月22日至2022年7月25日期间收集了17007条可能与悦刻禁令政策相关的推文。基于2600条人工编码的推文，训练了一个深度学习模型（RoBERTa），将所有推文分类为支持政策、反对政策、中立和不相关类别。使用深度学习模型（M3模型）来估计推特用户的基本人口统计学特征（如年龄和性别）。此外，使用潜在狄利克雷分配模型确定主要话题。使用逻辑回归模型来检验不同推特用户与其对该政策的态度之间的关联。
在10480条与悦刻禁令政策相关的推文中，支持政策和反对政策的推文比例相似（分别为2777条，占26.5%；2666条，占25.44%）。主要的支持政策话题包括“悦刻导致青少年上瘾”、“悦刻市场激增”和“悦刻对健康的影响”。相比之下，主要的反对政策话题包括“应该禁止香烟而不是悦刻”、“反对不合理政策”和“情绪宣泄”。29岁以上的推特用户比29岁以下的用户更有可能支持政策（对悦刻禁令政策持积极态度）。
我们的研究表明，公众对悦刻禁令政策表现出不同的反应，这取决于推特用户的人口统计学特征。我们的研究结果可以为食品药品监督管理局未来制定电子烟和其他烟草产品法规提供有价值的信息。
