Observational studyJMIR public health and surveillance2020
Electronic Cigarette-Related Contents on Instagram: Observational Study and Exploratory Analysis.
Observational study 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 24 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- #TurntTrending: a systematic review of substance use portrayals on social media platforms.Addiction (Abingdon, England) · 2023Pooled it
- #NoIDVape: A content analysis of illicit vape messaging in young people's information sources.Addiction (Abingdon, England) · 2026Article
- Spatiotemporal analysis of electronic cigarette discussion on Twitter/X using natural language processing.BMC public health · 2026Article
- Alcohol-cancer risk communication on social media: A content analysis of alcohol-related Instagram and TikTok posts.Alcohol, clinical & experimental research · 2026Article
- Leveraging Large Language Models to Identify Engagement-Driving Features in Vaping-Related TikTok Videos: Cross-Sectional Study.Journal of medical Internet research · 2025Article
- Tobacco, nicotine and counter-marketing promotions using Instagram's branded content tool.Tobacco control · 2025Article
- Young adults' visual attention to features of social media marketing for disposable e-cigarettes and associated perceptions.Addiction (Abingdon, England) · 2025Article
- Instagram and Aesthetic Dentistry: A Study of Content and Engagement Among Arabic Posts Related to Dental Smile.Clinical, cosmetic and investigational dentistry · 2025Article
- 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
- Characterizing Anti-Vaping Posts for Effective Communication on Instagram Using Multimodal Deep Learning.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024Article
- Marketing claims, promotional strategies, and product information on Malaysian e-cigarette retailer websites-a content analysis.Substance abuse treatment, prevention, and policy · 2024Article
- E-cigarettes on Instagram: Exploring vape content via an Australian vaping influencer.Tobacco induced diseases · 2024Article
- Unveiling the Digital Landscape of E-Cigarette Marketing in India: Evidence From Mixed Method Study.Tobacco use insights · 2024Article
- Twitter Misinformation Discourses About Vaping: Systematic Content Analysis.Journal of medical Internet research · 2023Article
- Characterizing e-Cigarette-Related Videos on TikTok: Observational Study.JMIR formative research · 2023Article
- Characterizing Heated Tobacco Products Marketing on Instagram: Observational Study.JMIR formative research · 2023Article
- E-Cigarette Marketing on Social Media: A Scoping Review.Current addiction reports · 2023Article
- Seasonality of Hashimoto Thyroiditis: Infodemiology Study of Google Trends Data.JMIR bioinformatics and biotechnology · 2022Article
- Investigating the Impact of the New York State Flavor Ban on e-Cigarette-Related Discussions on Twitter: Observational Study.JMIR public health and surveillance · 2022Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundInstagram is a popular social networking platform for users to upload pictures sharing their experiences. Instagram has been widely used by vaping companies and stores to promote electronic cigarettes (e-cigarettes), as well as by public health entities to communicate the risks of e-cigarette use (vaping) to the public.
objectiveWe aimed to characterize current vaping-related content on Instagram through descriptive analyses.
methodsFrom Instagram, 42,951 posts were collected using vaping-related hashtags in November 2019. The posts were grouped as (1) pro-vaping, (2) vaping warning, (3) neutral to vaping, and (4) not related to vaping based on the attitudes to vaping expressed within the posts. From these Instagram posts and the corresponding 18,786 unique Instagram user accounts, 200 pro-vaping and 200 vaping-warning posts as well as 200 pro-vaping and 200 vaping-warning user accounts were randomly selected for hand coding. Furthermore, follower counts and media counts of the Instagram user accounts as well as the "like" counts and hashtags of the posts were compared between pro-vaping and vaping-warning groups.
resultsThere were more posts in the pro-vaping group (41,412 posts) than there were in the vaping-warning group (1539 posts). The majority of pro-vaping images were product display images (163/200, 81.5%), and the most popular image type in vaping-warning posts was educational (95/200, 47.5%). The highest proportion of pro-vaping user account type was vaping store (110/189, 58.1%), and the store account type had the highest mean number of posts (10.33 posts/account). The top 3 vaping-warning user account types were personal (79/155, 51%), vaping-warning community (37/155, 23.9%), and community (35/155, 22.6%), of which the vaping-warning community had the highest mean number of posts (3.68 posts/account). Pro-vaping user accounts had more followers (median 850) and media (median 232) than vaping-warning user accounts had (follower count: median 191; media count: 92). Pro-vaping posts had more "likes" (median 22) and hashtags (mean 20.39) than vaping-warning posts had ("like" count: median 12; hashtags: mean 7.16).
conclusionsInstagram is dominated by pro-vaping content, and pro-vaping posts and user accounts seem to have more user engagement than vaping-warning accounts have. These results highlight the importance of regulating e-cigarette posts on social media and the urgency of identifying effective communication content and message delivery methods with the public about the health effects of e-cigarettes to ameliorate the epidemic of vaping in youth.
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What OpenQuestion holds
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.