ArticleJournal of medical Internet research2015
Social Listening: A Content Analysis of E-Cigarette Discussions on Twitter.
Article in Journal of medical Internet research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 5 of them syntheses that pooled it.
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.
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Who cites it
93 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- #TurntTrending: a systematic review of substance use portrayals on social media platforms.Addiction (Abingdon, England) · 2023Pooled it
- Pooled it
- Perceptions and Sentiments About Electronic Cigarettes on Social Media Platforms: Systematic Review.JMIR public health and surveillance · 2020Pooled it
- Methods for Coding Tobacco-Related Twitter Data: A Systematic Review.Journal of medical Internet research · 2017Pooled it
- Overview of Electronic Nicotine Delivery Systems: A Systematic Review.American journal of preventive medicine · 2017Pooled it
- Tweets Surrounding Pharmaceutical Drug Brands With Top Direct-to-Consumer TV-Advertising Budgets: Social Media Listening Study.Online journal of public health informatics · 2026Article
- Interpretations of Menstrual Blood Appearance and Diagnostic Potential Among Social Media Users: Cross-Sectional Mixed Methods Social Media Listening Study.Journal of medical Internet research · 2026Article
- Perceptions of User-Generated Content as a Source of Health Messages in Smoking Cessation Mobile Interventions: Focus Group Study.JMIR human factors · 2025Article
- Message Valence, Industry Influence, and Stakeholder Narratives in Global Conversations on Tobacco Harm Reduction: Content Analysis.Journal of medical Internet research · 2025Article
- Paid Social Media Advertising on Vaping in Australia: A Descriptive Study Using Meta Ad Library.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025Article
- COVID-19 Public Health Communication on X (Formerly Twitter): Cross-Sectional Study of Message Type, Sentiment, and Source.JMIR formative research · 2025Article
- Co-production of a youth advocacy video on the harms of e-cigarette advertising in Scotland.Health promotion international · 2025Article
- Large Language Models' Accuracy in Emulating Human Experts' Evaluation of Public Sentiments about Heated Tobacco Products on Social Media: Evaluation Study.Journal of medical Internet research · 2025Article
- Awareness of and support for banning e-cigarettes and heated tobacco products among Mexicans who smoke.Revista panamericana de salud publica = Pan American journal of public health · 2025Article
- Categorizing E-cigarette-related tweets using BERT topic modeling.Emerging trends in drugs, addictions, and health · 2024Article
- Concurrent Mentions of Vaping and Alcohol on Twitter: Latent Dirichlet Analysis.Journal of medical Internet research · 2024Article
- The Normalization of Vaping on TikTok Using Computer Vision, Natural Language Processing, and Qualitative Thematic Analysis: Mixed Methods Study.Journal of medical Internet research · 2024Article
- Mpox Discourse on Twitter by Sexual Minority Men and Gender-Diverse Individuals: Infodemiological Study Using BERTopic.JMIR public health and surveillance · 2024Article
- Not all norm information is the same: Effects of normative content in the media on young people's perceptions of e-cigarette and tobacco use norms.Communication research · 2024Article
- Exploring Discussions About Virtual Reality on Twitter to Inform Brain Injury Rehabilitation: Content and Network Analysis.Journal of medical Internet research · 2024Article
33 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundElectronic cigarette (e-cigarette) use has increased in the United States, leading to active debate in the public health sphere regarding e-cigarette use and regulation. To better understand trends in e-cigarette attitudes and behaviors, public health and communication professionals can turn to the dialogue taking place on popular social media platforms such as Twitter.
objectiveThe objective of this study was to conduct a content analysis to identify key conversation trends and patterns over time using historical Twitter data.
methodsA 5-category content analysis was conducted on a random sample of tweets chosen from all publicly available tweets sent between May 1, 2013, and April 30, 2014, that matched strategic keywords related to e-cigarettes. Relevant tweets were isolated from the random sample of approximately 10,000 tweets and classified according to sentiment, user description, genre, and theme. Descriptive analyses including univariate and bivariate associations, as well as correlation analyses were performed on all categories in order to identify patterns and trends.
resultsThe analysis revealed an increase in e-cigarette-related tweets from May 2013 through April 2014, with tweets generally being positive; 71% of the sample tweets were classified as having a positive sentiment. The top two user categories were everyday people (65%) and individuals who are part of the e-cigarette community movement (16%). These two user groups were responsible for a majority of informational (79%) and news tweets (75%), compared to reputable news sources and foundations or organizations, which combined provided 5% of informational tweets and 12% of news tweets. Personal opinion (28%), marketing (21%), and first person e-cigarette use or intent (20%) were the three most common genres of tweets, which tended to have a positive sentiment. Marketing was the most common theme (26%), and policy and government was the second most common theme (20%), with 86% of these tweets coming from everyday people and the e-cigarette community movement combined, compared to 5% of policy and government tweets coming from government, reputable news sources, and foundations or organizations combined.
conclusionsEveryday people and the e-cigarette community are dominant forces across several genres and themes, warranting continued monitoring to understand trends and their implications regarding public opinion, e-cigarette use, and smoking cessation. Analyzing social media trends is a meaningful way to inform public health practitioners of current sentiments regarding e-cigarettes, and this study contributes a replicable methodology.
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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.