Evidence map›Paper›PMID 39321452›Full record

Observational studyJMIR infodemiology2024

Public Perception of the Tobacco 21 Amendment on Twitter in the United States: Observational Study.

Liane M Schneller-Najm, Zidian Xie, Jiarui Chen, Sarah Lee, Emily Xu, Dongmei Li

Abstract readObservational Study
In one paragraph

Observational study in JMIR infodemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Exploring Social Media Discourse on Cigars: Insights from Twitter/X Data.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    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.

Liane M Schneller-Najm *Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States.ORCID 0000-0002-9575-2672
Zidian Xie *Department of Clinical and Translational Research, University of Rochester Medical Center, Rochester, NY, United States.ORCID 0000-0002-5149-7710
Jiarui Chen *Goergen Institute for Data Science, University of Rochester, Rochester, NY, United States.ORCID 0000-0001-5863-5277
Sarah LeeGoergen Institute for Data Science, University of Rochester, Rochester, NY, United States.ORCID 0009-0006-9962-0489
Emily XuGoergen Institute for Data Science, University of Rochester, Rochester, NY, United States.ORCID 0009-0006-8559-9885
Dongmei LiDepartment of Clinical and Translational Research, University of Rochester Medical Center, Rochester, NY, United States.ORCID 0000-0001-9140-2483

Funding

WNY Center for Research on Flavored Tobacco Products (CRoFT)U54CA228110 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI OSSIP, DEBORAH J · 2018 to 2022
$19.8M
FDA HHSNCI NIH HHS U54 CA228110
6 · The paper itself

Abstract

backgroundFollowing the signing of the Tobacco 21 Amendment (T21) in December 2019 to raise the minimum legal age for the sale of tobacco products from 18 to 21 years in the United States, there is a need to monitor public responses and potential unintended consequences. Social media platforms, such as Twitter (subsequently rebranded as X), can provide rich data on public perceptions.

objectiveThis study contributes to the literature using Twitter data to assess the knowledge and beliefs of T21.

methodsTwitter data were collected from November 2019 to February 2021 using the Twitter streaming application programming interface with keywords related to vaping or e-cigarettes, such as "vape," "ecig," etc. The temporal trend of the T21 discussion on Twitter was examined using the mean number of daily T21-related tweets. Inductive methods were used to manually code the tweets into different sentiment groups (positive, neutral, and negative) based on the attitude expressed toward the policy by 3 coders with high interrater reliability. Topics discussed were examined within each sentiment group through theme analyses.

resultsAmong the collected 3197 tweets, 2169 tweets were related to T21, of which 444 tweets (20.5%) showed a positive attitude, 736 (33.9%) showed a negative attitude, and 989 (45.6%) showed a neutral attitude. The temporal trend showed a clear peak in the number of tweets around January 2020, following the enactment of this legislation. For positive tweets, the most frequent topics were "avoidance of further regulation" (120/444, 27%), "Enforce T21" (110/444, 24.8%), and "health benefits" (81/444, 18.2%). For negative tweets, the most frequent topics were "general disagreement or frustration" (207/736, 28.1%) and "will still use tobacco" (188/736, 25.5%). Neutral tweets were primarily "public service announcements (PSA) or news posts" (782/989, 79.1%).

conclusionsOverall, we find that one-third of tweets displayed a negative attitude toward T21 during the study period. Many were frustrated with T21 and reported that underage consumers could still obtain products. Social media data provide a timely opportunity to monitor public perceptions and responses to regulatory actions. Continued monitoring can inform enforcement efforts and potential unintended consequences of T21.

Indexed as

Public OpinionSocial MediaElectronic Nicotine Delivery SystemsHumansTobacco ProductsUnited StatesVapingcigarettese-cigaretteshealth behaviorhealth beliefpublic opinionsentiment analysissmokingsocial mediasocial media analysistobaccotobacco policytobacco regulationtobacco usevaping

Identifiers

PMID39321452
PMCPMC11464937

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.