ArticleJMIR public health and surveillance2020
E-Cigarette Promotion on Twitter in Australia: Content Analysis of Tweets.
Article in JMIR public health and surveillance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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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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Who cites it
16 citing papers in PubMed, 27 citations in OpenAlex.
- Strengthening Tobacco Product Regulation: Addressing Challenges and Strategies for Articles 9 and 10 Implementation.Health care analysis : HCA : journal of health philosophy and policy · 2026Article
- Clearing the haze: novel methodology objectively assessing children's online exposure to tobacco and vape marketing.Health promotion international · 2025Article
- Social Media Marketing Strategies for Electronic Cigarettes: Content Analysis of Chinese Weibo Accounts.Journal of medical Internet research · 2024Article
- New image, same tactics: global tobacco and vaping industry strategies to promote youth vaping.Health promotion international · 2024Article
- Assessment of Online Marketing and Sales Practices Among Recreational Cannabis Retailers in Five U.S. Cities.Cannabis and cannabinoid research · 2024Article
- Changes in online marketing and sales practices among non-medical cannabis retailers in 5 US cities, 2022 to 2023.Preventive medicine reports · 2024Article
- Topic prediction for tobacco control based on COP9 tweets using machine learning techniques.PloS one · 2024Article
- E-cigarettes on Instagram: Exploring vape content via an Australian vaping influencer.Tobacco induced diseases · 2024Article
- Promotion of E-Cigarettes on TikTok and Regulatory Considerations.International journal of environmental research and public health · 2023Article
- E-Cigarette Marketing on Social Media: A Scoping Review.Current addiction reports · 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
- Exposure to e-cigarette advertising and young people's use of e-cigarettes: A four-country study.Tobacco induced diseases · 2023Article
- Passive exposure to e-cigarette emissions is associated with worsened mental health.BMC public health · 2022Article
- A content analysis of e-cigarette marketing on social media: Findings from the Tobacco Enforcement and Reporting Movement (TERM) in India, Indonesia and Mexico.Frontiers in public health · 2022Article
- Characterizing alternative and emerging tobacco product transition of use behavior on Twitter.BMC research notes · 2021Article
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series.JMIR infodemiologyArticle
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe sale of electronic cigarettes (e-cigarettes) containing nicotine is prohibited in all Australian states and territories; yet, the growing availability and convenience of the internet enable the promotion and exposure of e-cigarettes across countries. Social media's increasing pervasiveness has provided a powerful avenue to market products and influence social norms and risk behaviors. At present, there is no evidence of how e-cigarettes and vaping are promoted on social media in Australia.
objectiveThis study aimed to investigate how e-cigarettes are portrayed and promoted on Twitter through a content analysis of vaping-related tweets containing an image posted and retweeted by Australian users and how the portrayal and promotion have emerged and trended over time.
methodsIn total, we analyzed 1303 tweets and accompanying images from 2012, 2014, 2016, and 2018 collected through the Tracking Infrastructure for Social Media Analysis (TrISMA), a contemporary technical and organizational infrastructure for the tracking of public communication by Australian users of social media, via a list of 15 popular e-cigarette-related terms.
resultsDespite Australia's cautious approach toward e-cigarettes and the limited evidence supporting them as an efficacious smoking cessation aid, it is evident that there is a concerted effort by some Twitter users to promote these devices as a health-conducive (91/129, 70.5%), smoking cessation product (266/1303, 20.41%). Further, Twitter is being used in an attempt to circumvent Australian regulation and advocate for a more liberal approach to personal vaporizers (90/1303, 6.90%). A sizeable proportion of posts was dedicated to selling or promoting vape products (347/1303, 26.63%), and 19.95% (260/1303) were found to be business listings. These posts used methods to try and expand their clientele further than immediate followers by touting competitions and giveaways, with those wanting to enter having to perform a sequence of steps such as liking, tagging, and reposting, ultimately exposing the post among the user's network and to others not necessarily interested in vaping.
conclusionsThe borderless nature of social media presents a clear challenge for enforcing Article 13 of the World Health Organization Framework Convention on Tobacco Control, which requires all ratifying nations to implement a ban on tobacco advertising, promotion, and sponsorship. Countering the advertising and promotion of these products is a public health challenge that will require cross-border cooperation with other World Health Organization Framework Convention on Tobacco Control parties. Further research aimed at developing strategies to counter the advertising and promotion of e-cigarettes is therefore needed.
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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.