Evidence map›Paper›PMID 34931999›Full record

Trial reportJMIR public health and surveillance2021

Smokers' Likelihood to Engage With Information and Misinformation on Twitter About the Relative Harms of e-Cigarette Use: Results From a Randomized Controlled Trial.

Jessica Liu, Caroline Wright, Philippa Williams, Olga Elizarova, Jennifer Dahne, Jiang Bian, Yunpeng Zhao, Andy S L Tan

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR public health and surveillance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-weighted citation impact, top 8% of its field
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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Characteristics Associated with Young Adults' Intentions to Engage with Anti-Vaping Instagram Posts.International journal of environmental research and public health · 2023
    Article
  6. Article
  7. 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

8 authors at 5 institutions in 2 countries.

Jessica LiuDepartment of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, MA, United States.ORCID 0000-0002-8455-0127
Caroline WrightPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-4321-4872
Philippa WilliamsPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-6774-2514
Olga ElizarovaPlay Collaborate Change, Boston, MA, United States.ORCID 0000-0001-5239-4759
Jennifer DahneDepartment of Psychiatry and Behavioral Sciences, College of Medicine, Medical University of South Carolina, Charleston, SC, United States.ORCID 0000-0001-7297-9420
Jiang BianDepartment of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, United States.ORCID 0000-0002-2238-5429
Yunpeng ZhaoDepartment of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, United States.ORCID 0000-0002-5771-3373
Andy S L TanAnnenberg School for Communication, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0001-6459-6171
University of Bristol · GBUniversity of Florida · USHarvard University · USMedical University of South Carolina · USUniversity of Pennsylvania · US

Funding

Project RESIST: Increasing Resistance to Tobacco Marketing Among Young Adult Sexual Minority Women Using Inoculation Message ApproachesR01CA237670 · NCI · UNIVERSITY OF PENNSYLVANIA · PI TAN, ANDY SL · 2020 to 2024
$3.2M
The benefits and harms of lung cancer screening in FloridaR01CA246418 · NCI · UNIVERSITY OF FLORIDA · PI BIAN, JIANG, GUO, YI · 2020 to 2023
$1.7M
Development and Testing of a Depression-Specific Behavioral Activation Mobile App Paired with Nicotine Replacement Therapy Sampling for Smoking Cessation Treatment Via Primary CareK23DA045766 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DAHNE, JENNIFER RENEE · 2018 to 2022
$1.0M
E-Cigarette Vaping in Advertising Portrayals and Behavioral Outcomes Research (E-VAPOR Study)R03CA212544 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI TAN, ANDY SL · 2017 to 2018
$255k
Cancer Research UK C60153/A23895Cancer Research UK C60153/A28664NCI NIH HHS R01 CA237670NCI NIH HHS R01 CA246418NCI NIH HHS R03 CA212544NIDA NIH HHS K23 DA045766
6 · The paper itself

Abstract

backgroundInformation and misinformation on the internet about e-cigarette harms may increase smokers' misperceptions of e-cigarettes. There is limited research on smokers' engagement with information and misinformation about e-cigarettes on social media.

objectiveThis study assessed smokers' likelihood to engage with-defined as replying, retweeting, liking, and sharing-tweets that contain information and misinformation and uncertainty about the harms of e-cigarettes.

methodsWe conducted a web-based randomized controlled trial among 2400 UK and US adult smokers who did not vape in the past 30 days. Participants were randomly assigned to view four tweets in one of four conditions: (1) e-cigarettes are as harmful or more harmful than smoking, (2) e-cigarettes are completely harmless, (3) uncertainty about e-cigarette harms, or (4) control (physical activity). The outcome measure was participants' likelihood of engaging with tweets, which comprised the sum of whether they would reply, retweet, like, and share each tweet. We fitted Poisson regression models to predict the likelihood of engagement with tweets among 974 Twitter users and 1287 non-Twitter social media users, adjusting for covariates and stratified by UK and US participants.

resultsAmong Twitter users, participants were more likely to engage with tweets in condition 1 (e-cigarettes are as harmful or more harmful than smoking) than in condition 2 (e-cigarettes are completely harmless). Among other social media users, participants were more likely to likely to engage with tweets in condition 1 than in conditions 2 and 3 (e-cigarettes are completely harmless and uncertainty about e-cigarette harms).

conclusionsTweets stating information and misinformation that e-cigarettes were as harmful or more harmful than smoking regular cigarettes may receive higher engagement than tweets indicating e-cigarettes were completely harmless.

trial registrationInternational Standard Randomized Controlled Trial Number (ISRCTN) 16082420; https://doi.org/10.1186/ISRCTN16082420.

Indexed as

Electronic Nicotine Delivery SystemsSocial MediaVapingAdultCommunicationHumansSmokerse-cigarettesmisinformationsocial mediaTwitter

Identifiers

PMID34931999
PMCPMC8734921
OpenAlexW4200000004

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.