Observational studyJournal of medical Internet research2020
User Perceptions of Different Electronic Cigarette Flavors on Social Media: Observational Study.
Observational study in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
What it found
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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.
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
44 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
- Characterising 'Spree Bar': an examination of the popularity, marketing and composition of a vaping device with a nicotine analogue across multiple data streams.Tobacco control · 2026Article
- Content Analysis of Cannabis Discourses on Twitter/X in the U.S.AJPM focus · 2025Article
- Leveraging Large Language Models to Identify Engagement-Driving Features in Vaping-Related TikTok Videos: Cross-Sectional Study.Journal of medical Internet research · 2025Article
- Digital footprints of the US e-cigarette market: correlations among retail sales data, social media activity and Google search trends.Tobacco control · 2025Article
- In vitro toxicological assessment using NCI-H292 cells of the relationship between cytotoxic effects and chemical composition in flavored e-liquids.Archives of toxicology · 2025Article
- E-Cigarette Narratives of User-Generated Posts on Xiaohongshu in China: Content Analysis.Journal of medical Internet research · 2025Article
- Temporal and Thematic Analysis of Promotional Waterpipe-Related Posts on Twitter/X in the US.Substance use & misuse · 2025Article
- Public Perceptions of Very Low Nicotine Content on Twitter: Observational Study.JMIR formative research · 2024Observational
- Public Perception of the Tobacco 21 Amendment on Twitter in the United States: Observational Study.JMIR infodemiology · 2024Observational
- Public Perceptions and Discussions of the US Food and Drug Administration's JUUL Ban Policy on Twitter: Observational Study.JMIR formative research · 2024Article
- The Scientific Basis for the Regulation of Flavors in Tobacco Products.Annual review of clinical psychology · 2024Review
- e-Cigarette Tobacco Flavors, Public Health, and Toxicity: Narrative Review.Online journal of public health informatics · 2024Review
- Development of a Flavor Ingredient Wheel Linking E-Liquid Additives to the Labeled Flavor of Vaping Products.Toxics · 2024Article
- LC-MS/MS analysis of components in smoke from e-cigarettes that use guarana extract as the caffeine source.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024Article
- Vaping: Public Health, Social Media, and Toxicity.Online journal of public health informatics · 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
- Content analysis of conversations on Reddit: reactions to FDA's ENDS prioritized enforcement policy.Frontiers in communication · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundThe number of electronic cigarette (e-cigarette) users has been increasing rapidly in recent years, especially among youth and young adults. More e-cigarette products have become available, including e-liquids with various brands and flavors. Various e-liquid flavors have been frequently discussed by e-cigarette users on social media.
objectiveThis study aimed to examine the longitudinal prevalence of mentions of electronic cigarette liquid (e-liquid) flavors and user perceptions on social media.
methodsWe applied a data-driven approach to analyze the trends and macro-level user sentiments of different e-cigarette flavors on social media. With data collected from web-based stores, e-liquid flavors were classified into categories in a flavor hierarchy based on their ingredients. The e-cigarette-related posts were collected from social media platforms, including Reddit and Twitter, using e-cigarette-related keywords. The temporal trend of mentions of e-liquid flavor categories was compiled using Reddit data from January 2013 to April 2019. Twitter data were analyzed using a sentiment analysis from May to August 2019 to explore the opinions of e-cigarette users toward each flavor category.
resultsMore than 1000 e-liquid flavors were classified into 7 major flavor categories. The fruit and sweets categories were the 2 most frequently discussed e-liquid flavors on Reddit, contributing to approximately 58% and 15%, respectively, of all flavor-related posts. We showed that mentions of the fruit flavor category had a steady overall upward trend compared with other flavor categories that did not show much change over time. Results from the sentiment analysis demonstrated that most e-liquid flavor categories had significant positive sentiments, except for the beverage and tobacco categories.
conclusionsThe most updated information about the popular e-liquid flavors mentioned on social media was investigated, which showed that the prevalence of mentions of e-liquid flavors and user perceptions on social media were different. Fruit was the most frequently discussed flavor category on social media. Our study provides valuable information for future regulation of flavored e-cigarettes.
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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.