ArticleJournal of medical Internet research2021
Topics of Nicotine-Related Discussions on Twitter: Infoveillance Study.
Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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.
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Who cites it
11 citing papers in PubMed.
- Misinformation on cardiovascular disease spreads through social networks: a scoping review.BMJ public health · 2026Article
- Uncovering the Complexity of Perinatal Polysubstance Use Disclosure Patterns on X: Mixed Methods Study.Journal of medical Internet research · 2024Article
- Spanish-Language Tobacco-Related Posts on Twitter: Content Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024Article
- Statin Twitter: Human and Automated Bot Contributions, 2010 to 2022.Journal of the American Heart Association · 2024Article
- Oral Nicotine Gum Discussions on Twitter: Content Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024Article
- Article
- Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19.JMIR public health and surveillance · 2023Article
- An Analysis of Twitter Posts About the U.S. Food and Drug Administration's Menthol Ban.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023Article
- Article
- Attitudes towards the 'Shisha No Thanks' campaign video: Content analysis of Facebook comments.Tobacco induced diseases · 2022Article
- Content and trend analysis of user-generated nicotine sickness tweets: A retrospective infoveillance study.Tobacco induced diseases · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
backgroundCultural trends in the United States, the nicotine consumer marketplace, and tobacco policies are changing.
objectiveThe goal of this study was to identify and describe nicotine-related topics of conversation authored by the public and social bots on Twitter, including any misinformation or misconceptions that health education campaigns could potentially correct.
methodsTwitter posts containing the term "nicotine" were obtained from September 30, 2018 to October 1, 2019. Methods were used to distinguish between posts from social bots and nonbots. Text classifiers were used to identify topics in posts (n=300,360).
resultsPrevalent topics of posts included vaping, smoking, addiction, withdrawal, nicotine health risks, and quit nicotine, with mentions of going "cold turkey" and needing help in quitting. Cessation was a common topic, with mentions of quitting and stopping smoking. Social bots discussed unsubstantiated health claims including how hypnotherapy, acupuncture, magnets worn on the ears, and time spent in the sauna can help in smoking cessation.
conclusionsHealth education efforts are needed to correct unsubstantiated health claims on Twitter and ultimately direct individuals who want to quit smoking to evidence-based cessation strategies. Future interventions could be designed to follow these topics of discussions on Twitter and engage with members of the public about evidence-based cessation methods in near real time when people are contemplating cessation.
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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.