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Social Network Analysis of e-Cigarette-Related Social Media Influencers on Twitter/X: Observational Study.

التفاصيل البيبلوغرافية
العنوان: Social Network Analysis of e-Cigarette-Related Social Media Influencers on Twitter/X: Observational Study.
المؤلفون: Zhou R; Goergen Institute for Data Science, University of Rochester, Rochester, NY, United States., Xie Z; Department of Clinical and Translational Research, University of Rochester Medical Center, Rochester, NY, United States., Tang Q; Goergen Institute for Data Science, University of Rochester, Rochester, NY, United States., Li D; Department of Clinical and Translational Research, University of Rochester Medical Center, Rochester, NY, United States.
المصدر: JMIR formative research [JMIR Form Res] 2024 Apr 01; Vol. 8, pp. e53666. Date of Electronic Publication: 2024 Apr 01.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101726394 Publication Model: Electronic Cited Medium: Internet ISSN: 2561-326X (Electronic) Linking ISSN: 2561326X NLM ISO Abbreviation: JMIR Form Res Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Toronto, ON, Canada : JMIR Publications, [2017]-
مستخلص: Background: An e-cigarette uses a battery to heat a liquid that generates an aerosol for consumers to inhale. e-Cigarette use (vaping) has been associated with respiratory disease, cardiovascular disease, and cognitive functions. Recently, vaping has become increasingly popular, especially among youth and young adults.
Objective: The aim of this study was to understand the social networks of Twitter (now rebranded as X) influencers related to e-cigarettes through social network analysis.
Methods: Through the Twitter streaming application programming interface, we identified 3,617,766 unique Twitter accounts posting e-cigarette-related tweets from May 3, 2021, to June 10, 2022. Among these, we identified 33 e-cigarette influencers. The followers of these influencers were grouped according to whether or not they post about e-cigarettes themselves; specifically, the former group was defined as having posted at least five e-cigarette-related tweets in the past year, whereas the latter group was defined as followers that had not posted any e-cigarette-related tweets in the past 3 years. We randomly sampled 100 user accounts among each group of e-cigarette influencer followers and created corresponding social networks for each e-cigarette influencer. We compared various network measures (eg, clustering coefficient) between the networks of the two follower groups.
Results: Major topics from e-cigarette-related tweets posted by the 33 e-cigarette influencers included advocating against vaping policy (48.0%), vaping as a method to quit smoking (28.0%), and vaping product promotion (24.0%). The follower networks of these 33 influencers showed more connections for those who also post about e-cigarettes than for followers who do not post about e-cigarettes, with significantly higher clustering coefficients for the former group (0.398 vs 0.098; P=.005). Further, networks of followers who post about e-cigarettes exhibited substantially more incoming and outgoing connections than those of followers who do not post about e-cigarettes, with significantly higher in-degree (0.273 vs 0.084; P=.02), closeness (0.452 vs 0.137; P=.04), betweenness (0.036 vs 0.008; P=.001), and out-of-degree (0.097 vs 0.014; P=.02) centrality values. The followers who post about e-cigarettes also had a significantly (P<.001) higher number of followers (n=322) than that of followers who do not post about e-cigarettes (n=201). The number of tweets in the networks of followers who post about e-cigarettes was significantly higher than that in the networks of followers who do not post about e-cigarettes (93 vs 43; P<.001). Two major topics discussed in the networks of followers who post about e-cigarettes included promoting e-cigarette products or vaping activity (55.7%) and vaping being a help for smoking cessation and harm reduction (44.3%).
Conclusions: Followers of e-cigarette influencers who also post about e-cigarettes have more closely connected networks than those of followers who do not themselves post about e-cigarettes. These findings provide a potentially practical intervention approach for future antivaping campaigns.
(©Runtao Zhou, Zidian Xie, Qihang Tang, Dongmei Li. Originally published in JMIR Formative Research (https://formative.jmir.org), 01.04.2024.)
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معلومات مُعتمدة: U54 CA228110 United States CA NCI NIH HHS
فهرسة مساهمة: Keywords: Twitter; aerosol; antivaping; campaigns; consumer; e-cigarette; electronic cigarettes; influencer; influencers; observational study; social media; social network; social network analysis; vape; vaping
تواريخ الأحداث: Date Created: 20240401 Latest Revision: 20240425
رمز التحديث: 20240425
مُعرف محوري في PubMed: PMC11019427
DOI: 10.2196/53666
PMID: 38557555
قاعدة البيانات: MEDLINE
الوصف
تدمد:2561-326X
DOI:10.2196/53666