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E-Cigarette Social Media Messages: A Text Mining Analysis of Marketing and Consumer Conversations on Twitter

机译:电子烟社交媒体消息:Twitter上的营销和消费者对话的文本挖掘分析

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Background: As the use of electronic cigarettes (e-cigarettes) rises, social media likely influences public awareness and perception of this emerging tobacco product. Objective: This study examined the public conversation on Twitter to determine overarching themes and insights for trending topics from commercial and consumer users. Methods: Text mining uncovered key patterns and important topics for e-cigarettes on Twitter. SAS Text Miner 12.1 software (SAS Institute Inc) was used for descriptive text mining to reveal the primary topics from tweets collected from March 24, 2015, to July 3, 2015, using a Python script in conjunction with Twitter’s streaming application programming interface. A total of 18 keywords related to e-cigarettes were used and resulted in a total of 872,544 tweets that were sorted into overarching themes through a text topic node for tweets (126,127) and retweets (114,451) that represented more than 1% of the conversation. Results: While some of the final themes were marketing-focused, many topics represented diverse proponent and user conversations that included discussion of policies, personal experiences, and the differentiation of e-cigarettes from traditional tobacco, often by pointing to the lack of evidence for the harm or risks of e-cigarettes or taking the position that e-cigarettes should be promoted as smoking cessation devices. Conclusions: These findings reveal that unique, large-scale public conversations are occurring on Twitter alongside e-cigarette advertising and promotion. Proponents and users are turning to social media to share knowledge, experience, and questions about e-cigarette use. Future research should focus on these unique conversations to understand how they influence attitudes towards and use of e-cigarettes.
机译:背景:随着电子烟(电子烟)使用的增加,社交媒体可能会影响公众对这种新兴烟草产品的认识和认识。目的:本研究检查了Twitter上的公开对话,以确定商业和消费者用户对热门话题的总体主题和见解。方法:文本挖掘在Twitter上发现了电子烟的关键模式和重要主题。 SAS Text Miner 12.1软件(SAS Institute Inc.)用于描述性文本挖掘,使用Python脚本和Twitter的流应用程序编程接口,揭示了从2015年3月24日至2015年7月3日收集的推文中的主要主题。总共使用了18个与电子烟相关的关键字,并产生了872,544条推文,这些推文通过文本主题节点分类为总体主题,其中推文(126,127)和转发(114,451)占对话的1%以上。结果:虽然某些最终主题以市场营销为重点,但许多主题却代表了不同的支持者和用户对话,包括政策讨论,个人经历以及电子烟与传统烟草的区别,通常是指出缺乏证据支持电子烟的危害或风险,或采取将电子烟推广为戒烟设备的立场。结论:这些发现表明,伴随着电子烟的广告和促销,Twitter上正在进行独特的,大规模的公共对话。支持者和用户正在转向社交媒体,以分享有关电子烟使用的知识,经验和问题。未来的研究应将重点放在这些独特的对话上,以了解它们如何影响对电子烟的态度和使用。

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