Concerns Over Vuse e-Cigarette Digital Marketing and Implications for Public Health Regulation: Content Analysis
Bibliographic record
Abstract
Background: Electronic cigarettes (e-cigarettes) are the most used form of tobacco products among adolescents and young adults, and Vuse is one of the most popular brands of e-cigarettes among US adolescents. In October 2021, Vuse Solo became the first e-cigarette brand to receive marketing granted orders (MGOs) from the US Food and Drug Administration (FDA), authorizing its marketing and their tobacco-flavored pods. Vuse Ciro and Vuse Vibe, and their tobacco-only ("original") e-liquids, were authorized for marketing in May 2022 and Vuse Alto tobacco-flavored devices were authorized in July 2024. These marketing authorizations are contingent upon the company adhering to the MGOs' stated marketing restrictions, including reducing exposure and appeal to youth via digital, radio, television, print, and point-of-sale advertising. Objective: In this study, we analyzed the official social media channels of Vuse (Instagram and Facebook) to examine how Vuse marketed its products on social media and whether these marketing posts contain potentially youth-appealing themes. Methods: We conducted content analysis of the official RJ Reynolds Vapor Company Instagram and Facebook accounts. We collected all posts from October 10, 2019, when RJ Reynolds Vapor Company submitted its premarket tobacco product application to the FDA, to February 21, 2022, to cover the first winter holiday season after the MGO. Two coders developed the codebook with 17 themes based on the Content Appealing to Youth index to capture the posts' characteristics and potentially youth-appealing content. We calculated the percentage of posts in which each code was present. Results: A total of 439 unique posts were identified. During this study's period, there were no posts on Instagram or Facebook marketing Vuse Solo (the authorized product at that time). Instead, Vuse Alto (unauthorized to date of study) was heavily marketed, with 59.5% (n=261) of the posts specifically mentioning the product name. Further, "Vuse" more generally was marketed on social media without differentiating between the authorized and unauthorized products (n=182, 41.5%). The marketing messages contained several potentially youth-appealing themes including creativity or innovation (n=189, 43.1%), individuality or freedom (n=106, 24.2%), and themes related to art (n=150, 34.2%), music (n=77, 17.5%), sports (n=125, 28.5%), nature (with n=49, 11.2% of the posts containing flora imageries), alcohol imagery (n=10, 2.3%), and technology (n=6, 1.4%). Conclusions: Although Vuse Alto e-cigarettes had not yet obtained FDA marketing authorization during the 28 months of data collection, they were the primary Vuse e-cigarette devices marketed on social media. Vuse social media posts use themes that are appealing to and likely promote youth use, including creativity and innovation, individuality or freedom, arts and music, nature, technology, and alcohol imagery. The FDA should (1) prohibit companies from comarketing unauthorized products alongside authorized products, and (2) exercise enforcement against even authorized products that are marketed using youth-appealing features.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.058 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".