INTRODUCTION Tobacco researchers have used social media data to examine tobacco industry marketing practices (e.g., influencers), and to document user experience with tobacco products. This study summarized the literature that analyzed tobacco-related social media data, including domain, social media platform, tobacco product type, and themes of findings, among other variables. METHODS PubMed, PsycINFO, Web of Science, and Communication Source were searched between 2004 and 2022. Peer-reviewed articles were included if they were written in English, included at least one tobacco-related term, and one social media-related term, and analyzed a social media post. Two coders screened all titles and abstracts. The final sample consisted of (n=255) articles. Studies were coded for domain, social media platform, tobacco product type, data source, type of data, coding and analytic method, and presence of validation procedure, among other variables. RESULTS A total of 10,504,820,581 tobacco-related social media posts were assessed across 255 studies. User experience (54.1%) and promotion (23.1%) were the most researched domains. Researchers used data from Twitter the most (42.7%). Text (43.1%) was the most common type of data analyzed. Thematic analysis (80.8%) was the most common analytic technique. Themes of findings from content analyses often pertained to the health effects of tobacco use (61.0%) and promotion (44.2%). CONCLUSIONS Researchers have analyzed billions of tobacco-related social media posts to describe user experience with, and promotions related to, tobacco products like e-cigarettes on platforms like Twitter. Future research may examine tobacco-related social media data from newer platforms like TikTok. IMPLICATIONS Real-time surveillance of tobacco-related content on social media can keep the tobacco control community abreast of tobacco industry promotional strategies, user experience with tobacco products, and perceived health effects of tobacco use. A framework may be developed to establish best practices for social media data collection and analysis, including strategies to identify posts from bot accounts and validate methodological approaches used in thematic analysis.

中文翻译：

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检查烟草相关社交媒体数据的同行评审文献：范围界定审查。

简介 烟草研究人员使用社交媒体数据来检查烟草行业的营销实践（例如影响者），并记录用户对烟草产品的体验。本研究总结了分析烟草相关社交媒体数据的文献，包括领域、社交媒体平台、烟草产品类型和调查结果主题等变量。方法 检索 2004 年至 2022 年期间的 PubMed、PsycINFO、Web of Science 和 Communication Source。同行评审的文章如果是用英语撰写的，则包含至少一个与烟草相关的术语和一个社交媒体相关的术语，并且分析了社交媒体帖子。两名编码员筛选了所有标题和摘要。最终样本由 (n=255) 篇文章组成。研究针对领域、社交媒体平台、烟草产品类型、数据源、数据类型、编码和分析方法以及验证程序的存在等变量进行编码。结果 255 项研究共评估了 10,504,820,581 条与烟草相关的社交媒体帖子。用户体验（54.1%）和促销（23.1%）是研究最多的领域。研究人员使用 Twitter 的数据最多 (42.7%)。文本（43.1%）是最常见的分析数据类型。主题分析（80.8%）是最常见的分析技术。内容分析结果的主题通常与烟草使用（61.0%）和促销（44.2%）对健康的影响有关。结论 研究人员分析了数十亿条与烟草相关的社交媒体帖子，以描述 Twitter 等平台上电子烟等烟草产品的用户体验和相关促销活动。未来的研究可能会检查来自 TikTok 等新平台的与烟草相关的社交媒体数据。影响 实时监控社交媒体上与烟草相关的内容可以使烟草控制界了解烟草行业的促销策略、烟草产品的用户体验以及烟草使用对健康的影响。可以开发一个框架来建立社交媒体数据收集和分析的最佳实践，包括识别来自机器人帐户的帖子和验证主题分析中使用的方法的策略。