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Characterizing Support and Opposition for E-cigarette Use Prevention Campaigns on Twitter

Characterizing Support and Opposition for E-cigarette Use Prevention Campaigns on Twitter
Twitter 上对电子烟使用预防活动的支持和反对的特征
批准号:
10046470
负责人:
Miao Feng
金额:
$16.32万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-07-01 至 2022-06-30

项目摘要

项目成果

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中文摘要
翻译
项目总结 尽管美国的吸烟率有所下降,但最近卷烟销量的下降被 包括蒸发产品或电子尼古丁在内的其他烟草产品的消费量急剧增加 投放系统(完)。事实上,电子烟在青少年和青少年中的普遍使用和蒸发 年轻人(YYA)现在超过了可燃香烟。快速增长背后的原因之一 在YYA,电子烟的使用是对这些产品的广泛和有效的营销。这些产品是 越来越积极地在数字和社交媒体上进行营销,这些媒体在 这个很难接触到的高危年龄段。因此,有必要进行社交媒体干预,以防止电子烟的使用 但在竞争激烈的通信环境中具有未知的潜在影响,其特征是涌入 结束产品营销和宣传,可能导致受众困惑和错误信息。 因此,通过电子烟使用预防活动衡量社交媒体参与度将 代表了预防科学的重要进步,并为烟草提供了证据支持 监管政策。这项拟议的研究旨在让我们了解以下内容: 以及参与最近阻止电子烟使用的预防运动的Twitter消息。 我们将分析推特上关于14个州的竞选活动和一个全国性的竞选活动--“实际成本”的对话 美国食品和药物管理局(FDA)发起的青少年电子烟使用预防活动。具体来说, 我们建议分析与这些活动相关的Twitter内容,以帮助向卫生组织和 普通公众了解与竞选活动相关的消息数量、覆盖面和参与度 (目标1);支持和反对内容的信息来源和主题 烟草控制管理政策和预防科学,包括错误信息、健康声明、香料和 推特上的政策(目标2)。这一创新提议建立在社交数据合作实验室的编程和 分析基础设施和社交媒体数据分析专业知识。这项研究直接回应了 国家癌症研究所未来十年烟草控制研究的优先事项。有效沟通 关于烟草产品的有害和潜在有害成分和风险的战略。履行 AIMS将为社交媒体上潜在的预防干预措施以及 为监测和积极参与与用户产生的烟草相关的活动规划基础设施 推特上的内容。研究结果将作为R01应用程序的基础,该应用程序将 与非易燃产品反营销相关的信息的内容、来源和传播模式 关于社交媒体以及此类信息对个人知识、态度和行为的影响 青年和年轻人的代表性样本。
英文摘要
PROJECT SUMMARY Although smoking rates in the US have decreased, the recent declines in cigarette sales are offset by sharp increases in the consumption of other tobacco products including vaping products or electronic nicotine delivery systems (ENDS). In fact, the prevalence of electronic cigarette use and vaping among youth and young adults (YYA) now exceeds that of combustible cigarettes. One of the reasons behind the rapid increase in YYA e-cigarette use is the extensive and effective marketing of these products. These products are increasingly aggressively marketed on digital and social media, which are disproportionately popular among this hard-to-reach at-risk age group. Thus, social media interventions to prevent e-cigarette use are necessary but have unknown potential effects in a competitive communication environment characterized by an influx of ENDS product marketing and advocacy, potentially resulting in audience confusion and misinformation. Therefore, measuring the social media engagement with the e-cigarette use prevention campaigns would represent an important advancement to the science of prevention and lend evidential support for tobacco regulatory policy. The proposed research aims to inform our understanding of the amount, content, sources, and engagement of Twitter messages related to recent prevention campaigns discouraging e-cigarette use. We will analyze Twitter conversations about 14 state campaigns and one national campaign—“The Real Cost” youth e-cigarette use prevention campaign launched by the Food and Drug Administration (FDA). Specifically, we propose to analyze Twitter content related to these campaigns to help inform the health organizations and the general public about the amount of campaign-related messaging, reach and engagement by campaign (Aim 1); the sources of the messages and the themes of the supportive and oppositional content related to tobacco control regulatory policy and prevention science, including misinformation, health claims, flavors and policy on Twitter (Aim 2). This innovative proposal builds on Social Data Collaboratory’s programming and analytic infrastructure and social media data analysis expertise. This research is directly responsive to the National Cancer Institute’s Tobacco Control Research Priorities for the Next Decade. Effective communication strategies regarding harmful and potentially harmful constituents and risks of tobacco products. Fulfillment of the aims will build a scientific base for potential prevention interventions on social media, as well as the programming infrastructure for surveillance and active engagement with user-generated tobacco-related content on Twitter. Results of the study will serve as a foundation for an R01 application characterizing the content, sources, and diffusion patterns of messages related to counter-marketing of non-combustible products on social media and influence of such messages on individual knowledge, attitudes and behavior in a representative sample of youth and young adults.
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Using Innovative Machine Learning to Detect Organized Support and Opposition to E-cigarette Use Prevention Campaign Messaging on Twitter and TikTok
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