Evidence map›Paper›PMID 38410122›Full record

ArticleTobacco induced diseases2024

Assessing the public discourse on Twitter: Reactions to the JUUL e-cigarettes ban in the United States.

Artur Galimov, Larisa Albers, Tahsin Rahman, Julia Vassey, Matthew G Kirkpatrick, Jennifer B Unger

Abstract read
In one paragraph

Article in Tobacco induced diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Artur GalimovTobacco Center of Regulatory Science, Institute for Health Promotion and Disease Prevention Research, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, United States.
Larisa AlbersTobacco Center of Regulatory Science, Institute for Health Promotion and Disease Prevention Research, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, United States.
Tahsin RahmanTobacco Center of Regulatory Science, Institute for Health Promotion and Disease Prevention Research, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, United States.
Julia VasseyTobacco Center of Regulatory Science, Institute for Health Promotion and Disease Prevention Research, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, United States.
Matthew G KirkpatrickTobacco Center of Regulatory Science, Institute for Health Promotion and Disease Prevention Research, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, United States.
Jennifer B UngerTobacco Center of Regulatory Science, Institute for Health Promotion and Disease Prevention Research, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionJUUL is a high-nicotine pod-based vaping device that is popular among adolescents and young adults. On 23 June 2022, the US Food and Drug Administration (FDA) denied authorization to market JUUL, and ordered JUUL Labs to remove products from the US market. The next day, a US federal appeals court temporarily suspended the ban. The mixed public discourse surrounding the FDA ban warrants further investigation.

methodsThis study examined Twitter data to describe public reaction to these announcements. Posts containing terms 'JUUL' and/or '#JUUL' (N=97548 unique tweets) were collected from 23 June to 3 July 2022, from Twitter's Streaming Application Programming Interface (API). After removing retweets, we used an inductive approach to become familiar with the data, generated a codebook, and conducted a content analysis on a random sample of n=4000 tweets.

resultsA total of 2755 (68.9%) tweets discussed JUUL in the context of the FDA ban. News (n=1425/2755; 51.7%) about the JUUL ban, government distrust (n=588; 21.3%), and individual rights (n=253; 9.2%) were the most prevalent themes. Less commonly discussed themes included inconsistencies between policies (n=174; 6.3%), mentions of switching to other products (n=162; 5.9%), smoking cessation (n=99; 3.6%), and craving for JUUL (n=94; 3.4%). Sentiment analysis of JUUL ban-related posts (n=2755) demonstrated that 1989 (72.2%) tweets were categorized as neutral, while anti-ban posts (n=566; 20.5%) were more prevalent than pro-ban posts (n=200; 7.3%).

conclusionsBesides straightforward announcements of the JUUL ban and its suspension, Twitter posts discussed government distrust, individual rights, and policy inconsistencies. While most posts conveyed neutral sentiments, anti-ban posts were almost three times more prevalent than pro-ban posts. Our findings suggest that text-based social media platforms like Twitter may be an effective instrument to understand opinions, attitudes, and beliefs regarding the FDA's JUUL ban.

Indexed as

JUULpublic opinionpublic policysocial mediatwitter

Identifiers

PMID38410122
PMCPMC10895646

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.