ArticleAddictive behaviors reports2019
E-liquid-related posts to Twitter in 2018: Thematic analysis.
Article in Addictive behaviors reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- #TurntTrending: a systematic review of substance use portrayals on social media platforms.Addiction (Abingdon, England) · 2023Pooled it
- Social Media Marketing Strategies for Electronic Cigarettes: Content Analysis of Chinese Weibo Accounts.Journal of medical Internet research · 2024Article
- Spanish-Language Tobacco-Related Posts on Twitter: Content Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024Article
- Adolescents and Young Adults Use of Social Media and Following of e-Cigarette Influencers.Substance use & misuse · 2024Article
- Social media use and cannabis vaping initiation among US youth.Drug and alcohol dependence · 2023Article
- E-Cigarette Marketing on Social Media: A Scoping Review.Current addiction reports · 2023Article
- Topics and Sentiment Surrounding Vaping on Twitter and Reddit During the 2019 e-Cigarette and Vaping Use-Associated Lung Injury Outbreak: Comparative Study.Journal of medical Internet research · 2022Article
- Thermal Degradants Identified from the Vaping of Vitamin E Acetate.Journal of analytical toxicology · 2022Article
- Effects of combined THC and heroin vapor inhalation in rats.Psychopharmacology · 2022Article
- E-Cigarette-Related Nicotine Misinformation on Social Media.Substance use & misuse · 2022Article
- Twitter Surveillance at the Intersection of the Triangulum.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022Article
- Therapeutic Claims in Cannabidiol (CBD) Marketing Messages on Twitter.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2021Article
- Characteristics of and User Engagement With Antivaping Posts on Instagram: Observational Study.JMIR public health and surveillance · 2021Observational
- Categorizing IQOS-Related Twitter Discussions.International journal of environmental research and public health · 2021Article
- E-Cigarettes as a Growing Threat for Children and Adolescents: Position Statement From the European Academy of Paediatrics.Frontiers in pediatrics · 2021Article
- E-Cigarette Promotion on Twitter in Australia: Content Analysis of Tweets.JMIR public health and surveillance · 2020Article
- Predictors of marijuana vaping onset and escalation among young adults.Drug and alcohol dependence · 2020Article
- A Toxic Blend: Assessing the Effects of Cross-Source Media Coverage of Flavored E-Cigarettes on Youth and Young Adult Perceptions.Journal of health communication · 2020Article
- COVID-19 and Tweets About Quitting Cigarette Smoking: Topic Model Analysis of Twitter Posts 2018-2020.JMIR infodemiologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
introductionE-liquid is the solution aerosolized by e-cigarette devices to produce vapor. Continuously evolving e-liquids, and corresponding devices, can affect user experiences associated with these products. Twitter conversations about e-liquids can capture salient behavioral, social, and communicative cues associated with e-liquids. We analyzed Twitter data to characterize key topics of conversation about e-liquids to inform surveillance, and regulatory efforts.
methodsTwitter posts containing e-liquid-related terms ("e-liquid(s)," "e-juice(s)") were obtained from 1 January 2018 to 31 December 2018. Text classifiers were used to identify topics of the posts (n = 15,927).
resultsThe most prevalent topic was
conclusionThese results suggest that flavors, cannabis, health risks of nicotine, and composition warrant consideration as targets in future surveillance, public policy, and interventions addressing the use of e-liquids. Twitter provides ample opportunity to influence the normalization, and uptake, of e-cigarette-related products among non-smokers and youth, unless regulatory restrictions, and counter messaging campaigns are developed to reduce this risk.
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What OpenQuestion holds
Registered trials
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.