ArticleInternational journal of public health2017
Geographic variations in electronic cigarette advertisements on Twitter in the United States.
Article in International journal of public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study.JMIR public health and surveillance · 2020Article
- Creating COVID-19 Stigma by Referencing the Novel Coronavirus as the "Chinese virus" on Twitter: Quantitative Analysis of Social Media Data.Journal of medical Internet research · 2020Article
- Schools Influence Adolescent E-Cigarette use, but when? Examining the Interdependent Association between School Context and Teen Vaping over time.Journal of youth and adolescence · 2019Article
- "Technophilia": A new risk factor for electronic cigarette use among early adolescents?Addictive behaviors · 2019Article
- Using Social Media to Target Cancer Prevention in Young Adults: Viewpoint.Journal of medical Internet research · 2018Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesStudies have identified a proliferation of e-cigarette advertisements on Twitter. We investigate whether the prevalence of e-cigarette related advertising is associated with state tobacco regulations after taking socio-economic characteristics into account.
methodsWe collected e-cigarette related tweets from July 23 to October 14, 2015 (n = 757,167) on Twitter. State regulations and smoking prevalence were provided by the Campaign for Tobacco-Free Kids program. The socio-economic data were provided by the American Community Survey.
resultsThe number of commercial tweets was 319,041/day with a high potential reach (830,495,700/day). The prevalence of commercial tweets varied significantly by US state. The higher prevalence of e-cigarette advertising was associated with states with better tobacco control impact (r = 0.54, p < 0.0001) and lower youth smoking prevalence (r = -0.39, p = 0.005). In the multivariate analysis, state tobacco control impact is significantly associated with the prevalence of commercial tweets (β = 0.03 ± 0.01, p = 0.02).
conclusionsPolicies at both the federal and state levels are needed to regulate the content of commercial tweets and mitigate the negative effect of social media advertisements.
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