ArticleJMIR formative research2022
Monitoring and Identifying Emerging e-Cigarette Brands and Flavors on Twitter: Observational Study.
Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Spatiotemporal analysis of electronic cigarette discussion on Twitter/X using natural language processing.BMC public health · 2026Article
- Spatiotemporal Analysis of Electronic Cigarette Perception on Twitter/X Using Natural Language Processing.Research square · 2026Article
- Content Analysis of Cannabis Discourses on Twitter/X in the U.S.AJPM focus · 2025Article
- Digital footprints of the US e-cigarette market: correlations among retail sales data, social media activity and Google search trends.Tobacco control · 2025Article
- Online Interest in Elf Bar in the United States: Google Health Trends Analysis.Journal of medical Internet research · 2024Article
- Social Network Analysis of e-Cigarette-Related Social Media Influencers on Twitter/X: Observational Study.JMIR formative research · 2024Article
- 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
- Youth Use of e-Cigarette Flavor and Device Combinations and Brands Before vs After FDA Enforcement.JAMA network open · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFlavored electronic cigarettes (e-cigarettes) have become very popular in recent years. e-Cigarette users like to share their e-cigarette products and e-cigarette use (vaping) experiences on social media. e-Cigarette marketing and promotions are also prevalent online.
objectiveThis study aims to develop a method to identify new e-cigarette brands and flavors mentioned on Twitter and to monitor e-cigarette brands and flavors mentioned on Twitter from May 2021 to December 2021.
methodsWe collected 1.9 million tweets related to e-cigarettes between May 3, 2021, and December 31, 2021, by using the Twitter streaming application programming interface. Commercial and noncommercial tweets were characterized based on promotion-related keywords. We developed a depletion method to identify new e-cigarette brands by removing the keywords that already existed in the reference data set (Twitter data related to e-cigarettes from May 3, 2021, to August 31, 2021) or our previously identified brand list from the keywords in the target data set (e-cigarette-related Twitter data from September 1, 2021, to December 31, 2021), followed by a manual Google search to identify new e-cigarette brands. To identify new e-cigarette flavors, we constructed a flavor keyword list based on our previously collected e-cigarette flavor names, which were used to identify potential tweet segments that contain at least one of the e-cigarette flavor keywords. Tweets or tweet segments with flavor keywords but not any known flavor names were marked as potential new flavor candidates, which were further verified by a web-based search. The longitudinal trends in the number of tweets mentioning e-cigarette brands and flavors were examined in both commercial and noncommercial tweets.
resultsThrough our developed methods, we identified 34 new e-cigarette brands and 97 new e-cigarette flavors from commercial tweets as well as 56 new e-cigarette brands and 164 new e-cigarette flavors from noncommercial tweets. The longitudinal trend of the e-cigarette brands showed that JUUL was the most popular e-cigarette brand mentioned on Twitter; however, there was a decreasing trend in the mention of JUUL over time on Twitter. Menthol flavor was the most popular e-cigarette flavor mentioned in the commercial tweets, whereas mango flavor was the most popular e-cigarette flavor mentioned in the noncommercial tweets during our study period.
conclusionsOur proposed methods can successfully identify new e-cigarette brands and flavors mentioned on Twitter. Twitter data can be used for monitoring the dynamic changes in the popularity of e-cigarette brands and flavors.
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