ArticleJournal of medical Internet research2015
Using Twitter Data to Gain Insights into E-cigarette Marketing and Locations of Use: An Infoveillance Study.
Article in Journal of medical Internet research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.
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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.
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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
58 citing papers in PubMed, 2 syntheses or guidelines pooled 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
- An Experimental Study of Nicotine Warning Statements in E-cigarette Tweets.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020Trial
- How to Identify e-Cigarette Brands Available in the United States During 2020-2022: Development and Usability Study.JMIR formative research · 2024Article
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis.JMIR formative research · 2023Article
- #Delta8: a retailer-driven increase in Delta-8 THC discussions on Twitter from 2020 to 2021.The American journal of drug and alcohol abuse · 2023Article
- Article
- Examination of Tobacco-Related Messaging and Tobacco Use over Time among U.S. Military Young Adults.Substance use & misuse · 2023Article
- How Does Social Media Exposure and Engagement Influence College Students' Use of ENDS Products? A Cross-lagged Longitudinal Study.Health communication · 2023Article
- Examining the association between California tobacco licensed retail density and public support or opposition to state anti-tobacco legislation.Tobacco prevention & cessation · 2023Article
- How to improve public health literacy based on polycentric public goods theory: preferences of the Chinese general population.BMC public health · 2022Article
- Confronting potential food industry 'front groups': case study of the international food information Council's nutrition communications using the UCSF food industry documents archive.Globalization and health · 2022Article
- Characteristics of and User Engagement With Antivaping Posts on Instagram: Observational Study.JMIR public health and surveillance · 2021Observational
- Characterizing Vaping Industry Political Influence and Mobilization on Facebook: Social Network Analysis.Journal of medical Internet research · 2021Article
- Digital Surveillance to Identify California Alternative and Emerging Tobacco Industry Policy Influence and Mobilization on Facebook.International journal of environmental research and public health · 2021Article
- Characterizing alternative and emerging tobacco product transition of use behavior on Twitter.BMC research notes · 2021Article
- At the speed of Juul: measuring the Twitter conversation related to ENDS and Juul across space and time (2017-2018).Tobacco control · 2021Article
- Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data.JMIR public health and surveillance · 2021Observational
- Vaping discussion in the COVID-19 pandemic: An observational study using Twitter data.PloS one · 2021Article
- Social media use by leading US e-cigarette, cigarette, smokeless tobacco, cigar and hookah brands.Tobacco control · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMarketing and use of electronic cigarettes (e-cigarettes) and other electronic nicotine delivery devices have increased exponentially in recent years fueled, in part, by marketing and word-of-mouth communications via social media platforms, such as Twitter.
objectiveThis study examines Twitter posts about e-cigarettes between 2008 and 2013 to gain insights into (1) marketing trends for selling and promoting e-cigarettes and (2) locations where people use e-cigarettes.
methodsWe used keywords to gather tweets about e-cigarettes between July 1, 2008 and February 28, 2013. A randomly selected subset of tweets was manually coded as advertising (eg, marketing, advertising, sales, promotion) or nonadvertising (eg, individual users, consumers), and classification algorithms were trained to code the remaining data into these 2 categories. A combination of manual coding and natural language processing methods was used to indicate locations where people used e-cigarettes. Additional metadata were used to generate insights about users who tweeted most frequently about e-cigarettes.
resultsWe identified approximately 1.7 million tweets about e-cigarettes between 2008 and 2013, with the majority of these tweets being advertising (93.43%, 1,559,508/1,669,123). Tweets about e-cigarettes increased more than tenfold between 2009 and 2010, suggesting a rapid increase in the popularity of e-cigarettes and marketing efforts. The Twitter handles tweeting most frequently about e-cigarettes were a mixture of e-cigarette brands, affiliate marketers, and resellers of e-cigarette products. Of the 471 e-cigarette tweets mentioning a specific place, most mentioned e-cigarette use in class (39.1%, 184/471) followed by home/room/bed (12.5%, 59/471), school (12.1%, 57/471), in public (8.7%, 41/471), the bathroom (5.7%, 27/471), and at work (4.5%, 21/471).
conclusionsTwitter is being used to promote e-cigarettes by different types of entities and the online marketplace is more diverse than offline product offerings and advertising strategies. E-cigarettes are also being used in public places, such as schools, underscoring the need for education and enforcement of policies banning e-cigarette use in public places. Twitter data can provide new insights on e-cigarettes to help inform future research, regulations, surveillance, and enforcement efforts.
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