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Public Perceptions and Discussions of the US Food and Drug Administration's JUUL Ban Policy on Twitter: Observational Study.
Liu, Pinxin; Lou, Xubin; Xie, Zidian; Shang, Ce; Li, Dongmei.
Affiliation
  • Liu P; Department of Computer Science, University of Rochester, Rochester, NY, United States.
  • Lou X; Goergen Institute for Data Science, University of Rochester, Rochester, NY, United States.
  • Xie Z; Department of Clinical and Translational Research, University of Rochester Medical Center, Rochester, NY, United States.
  • Shang C; Center for Tobacco Research, The Ohio State University Wexner Medical Center, Columbus, OH, United States.
  • Li D; Department of Clinical and Translational Research, University of Rochester Medical Center, Rochester, NY, United States.
JMIR Form Res ; 8: e51327, 2024 Jul 11.
Article in En | MEDLINE | ID: mdl-38990633
ABSTRACT

BACKGROUND:

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.

OBJECTIVE:

This study aims to understand public perceptions and discussions of this policy using Twitter (subsequently rebranded as X) data.

METHODS:

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.

RESULTS:

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.

CONCLUSIONS:

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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: JMIR Form Res Year: 2024 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: JMIR Form Res Year: 2024 Document type: Article Affiliation country: Estados Unidos