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Monitoring and Identifying Emerging e-Cigarette Brands and Flavors on Twitter: Observational Study.

التفاصيل البيبلوغرافية
العنوان: Monitoring and Identifying Emerging e-Cigarette Brands and Flavors on Twitter: Observational Study.
المؤلفون: Tang Q; Goergen Institute for Data Science, University of Rochester, Rochester, NY, United States., Zhou R; Goergen Institute for Data Science, University of Rochester, Rochester, NY, United States., Xie Z; Department of Clinical & Translational Research, University of Rochester Medical Center, Rochester, NY, United States., Li D; Department of Clinical & Translational Research, University of Rochester Medical Center, Rochester, NY, United States.
المصدر: JMIR formative research [JMIR Form Res] 2022 Dec 05; Vol. 6 (12), pp. e42241. Date of Electronic Publication: 2022 Dec 05.
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: Flavored electronic cigarettes (e-cigarettes) have become very popular in recent years. e-Cigarette users like to share their e-cigarette products and e-cigarette use (vaping) experiences on social media. e-Cigarette marketing and promotions are also prevalent online.
Objective: This study aims to develop a method to identify new e-cigarette brands and flavors mentioned on Twitter and to monitor e-cigarette brands and flavors mentioned on Twitter from May 2021 to December 2021.
Methods: We collected 1.9 million tweets related to e-cigarettes between May 3, 2021, and December 31, 2021, by using the Twitter streaming application programming interface. Commercial and noncommercial tweets were characterized based on promotion-related keywords. We developed a depletion method to identify new e-cigarette brands by removing the keywords that already existed in the reference data set (Twitter data related to e-cigarettes from May 3, 2021, to August 31, 2021) or our previously identified brand list from the keywords in the target data set (e-cigarette-related Twitter data from September 1, 2021, to December 31, 2021), followed by a manual Google search to identify new e-cigarette brands. To identify new e-cigarette flavors, we constructed a flavor keyword list based on our previously collected e-cigarette flavor names, which were used to identify potential tweet segments that contain at least one of the e-cigarette flavor keywords. Tweets or tweet segments with flavor keywords but not any known flavor names were marked as potential new flavor candidates, which were further verified by a web-based search. The longitudinal trends in the number of tweets mentioning e-cigarette brands and flavors were examined in both commercial and noncommercial tweets.
Results: Through our developed methods, we identified 34 new e-cigarette brands and 97 new e-cigarette flavors from commercial tweets as well as 56 new e-cigarette brands and 164 new e-cigarette flavors from noncommercial tweets. The longitudinal trend of the e-cigarette brands showed that JUUL was the most popular e-cigarette brand mentioned on Twitter; however, there was a decreasing trend in the mention of JUUL over time on Twitter. Menthol flavor was the most popular e-cigarette flavor mentioned in the commercial tweets, whereas mango flavor was the most popular e-cigarette flavor mentioned in the noncommercial tweets during our study period.
Conclusions: Our proposed methods can successfully identify new e-cigarette brands and flavors mentioned on Twitter. Twitter data can be used for monitoring the dynamic changes in the popularity of e-cigarette brands and flavors.
(©Qihang Tang, Runtao Zhou, Zidian Xie, Dongmei Li. Originally published in JMIR Formative Research (https://formative.jmir.org), 05.12.2022.)
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فهرسة مساهمة: Keywords: Twitter; brand; e-cigarettes; flavor
تواريخ الأحداث: Date Created: 20221205 Latest Revision: 20221222
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC9764155
DOI: 10.2196/42241
PMID: 36469415
قاعدة البيانات: MEDLINE
الوصف
تدمد:2561-326X
DOI:10.2196/42241