ArticleTobacco control2017
Campaigns and counter campaigns: reactions on Twitter to e-cigarette education.
Article in Tobacco control, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 4 of them syntheses that pooled 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.
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
54 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Systematic Review on Information Technology Approaches to Evaluate the Impact of Public Health Campaigns: Real Cases and Possible Directions.Frontiers in public health · 2021Pooled it
- Perceptions and Sentiments About Electronic Cigarettes on Social Media Platforms: Systematic Review.JMIR public health and surveillance · 2020Pooled it
- Methods for Coding Tobacco-Related Twitter Data: A Systematic Review.Journal of medical Internet research · 2017Pooled it
- Overview of Electronic Nicotine Delivery Systems: A Systematic Review.American journal of preventive medicine · 2017Pooled it
- Opposition to Youth e-Cigarette Prevention Campaigns on Twitter and TikTok: Cross-Platform Observational Mixed Methods Analysis.Journal of medical Internet research · 2026Observational
- Message Valence, Industry Influence, and Stakeholder Narratives in Global Conversations on Tobacco Harm Reduction: Content Analysis.Journal of medical Internet research · 2025Article
- Tweeted, Trolled, Twisted: Battling for Narrative Control in E-Cigarette Use Prevention Campaigns (2014-2020).Journal of health communication · 2025Article
- Concurrent Mentions of Vaping and Alcohol on Twitter: Latent Dirichlet Analysis.Journal of medical Internet research · 2024Article
- Discussion of Heated Tobacco Products on Twitter Following IQOS's Modified-Risk Tobacco Product Authorization and US Import Ban: Content Analysis.Journal of medical Internet research · 2024Article
- A comprehensive content analysis of 104 Chinese electronic cigarette manufacturing enterprise official websites.Tobacco control · 2024Article
- Oral Nicotine Gum Discussions on Twitter: Content Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024Article
- How Facebook is used to promote ENDS products near four Big 10 universities: A qualitative analysis.Journal of American college health : J of ACH · 2024Article
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis.JMIR formative research · 2023Article
- An Analysis of Twitter Posts About the U.S. Food and Drug Administration's Menthol Ban.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023Article
- Social Media Data Mining of Antitobacco Campaign Messages: Machine Learning Analysis of Facebook Posts.Journal of medical Internet research · 2023Article
- An Analysis of Arguments Advanced via Twitter in an Advocacy Campaign to Promote Electronic Nicotine Delivery Systems.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023Article
- Ice Flavor-Related Discussions on Twitter: Content Analysis.Journal of medical Internet research · 2022Article
- Using Natural Language Processing to Explore "Dry January" Posts on Twitter: Longitudinal Infodemiology Study.Journal of medical Internet research · 2022Article
- Analyzing Twitter Chatter About Tobacco Use Within Intoxication-related Contexts of Alcohol Use: "Can Someone Tell Me Why Nicotine is So Fire When You're Drunk?"Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022Article
- Tobacco and cannabis use advertisements targeting adolescents and young adults on Snapchat in 2019.Preventive medicine reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundSocial media present opportunities for public health departments to galvanise interest in health issues. A challenge is creating content that will resonate with target audiences, and determining reactions to educational material. Twitter can be used as a real-time surveillance system to capture individuals' immediate reactions to education campaigns and such information could lead to better campaigns in the future. A case study testing Twitter's potential presented itself when the California Department of Public Health launched its 'Still Blowing Smoke' media campaign about the potential harmful effects of e-cigarettes. Pro-e-cigarette advocacy groups, in response, launched a counter campaign titled 'Not Blowing Smoke'. This study tracked the popularity of the two campaigns on Twitter, analysed the content of the messages and determined who was involved in these discussions.
methodsThe study period was from 22 March 2015 to 27 June 2015. A stratified sampling procedure supplied 2192 tweets for analysis. Content analysis identified pro, anti and neutral e-cigarette tweets, and five additional themes: Marketing Elements, Money, Regulation/propaganda, Health, and Other. Metadata were analysed to obtain additional information about Twitter accounts.
results'Not Blowing Smoke' was referenced more frequently than 'Still Blowing Smoke' on Twitter. Messages commonly objected to government regulation of e-cigarettes, refuted claims that e-cigarette manufactures were aligned with big tobacco, and touted the health benefits of e-cigarette use. E-cigarette companies and vape shops used campaign slogans to communicate with customers on Twitter.
conclusionsFindings showed the time dynamics of Twitter and the possibility for real-time monitoring of education campaigns.
Indexed as
Identifiers
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.