推特推特蜱:对推特上有关蜱虫的风险交流进行定量内容分析

Cheng-Xian Yang, Lauri Baker, Ashley McLeod-Morin
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摘要

本研究确定了 Twitter (X) 上关于蜱媒疾病及其预防的信息内容,并调查了内容信息与参与率之间的关系。病媒传播疾病,尤其是蜱虫传播疾病的发病率不断上升,已成为一个重大的公共卫生问题。本研究采用定量内容分析法对蜱虫相关内容进行了研究,以了解社交媒体是如何对这一传染病进行定格的,研究的最终样本为 340 条推文。在有视觉内容的推文中,静态照片和插图/渲染图片是最常用的形式。个人、新闻和卫生/政府组织是主要的推文发布者。此外,大多数推文都使用了态势感知、工具获取和研究框架,并采用了损失框架。约有一半(48.8%)的推文强调了不利后果或以负面的措辞来描述风险防范。带有视觉辅助工具的推文参与率更高,而带有 URL 的推文参与率则不高。最后,推文使用了不同的备灾响应框架,并倾向于使用不同的收益/损失框架。具体来说,强调情景意识以提醒公众注意蜱虫和蜱传疾病的推文主要使用损失框架,强调风险高于工具获取或研究框架。通过了解能产生较高参与度的内容类型以及能与受众产生共鸣的框架,卫生组织和其他利益相关者可以更好地调整他们的传播方式,让公众了解蜱虫风险和预防策略。这将提高疾病预防工作的效率,让公众了解更多信息,随时准备采取适当行动保护自己免受蜱传疾病的侵害。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tweet tweet tick: a quantitative content analysis of risk communication about ticks on Twitter
This study determined what information presented on Twitter (X) on tickborne diseases and their prevention and investigated the relationships between content information and engagement rate. The escalating incidence of vectorborne diseases, particularly those transmitted by ticks, has emerged as a significant public health concern. Communicating tick risks effectively to the public has become an urgent issue.A quantitative content analysis was used to examine tick-related contents to understand how this infectious disease was framed on social media, with 340 tweets comprising the final sample for this study.In Twitter communication about tick risks, over half (55.3%) of the tweets lacked any visual content. Among the tweets with visuals, static photographs and illustrations/rendered images were the most commonly employed forms. Individual persons, news, and health/governmental organizations are the main tweeters. Additionally, most tweets use situational awareness, tool acquisition, and research frames and are in loss-frame. Approximately half (48.8%) of the tweets highlight adverse consequences or frame risk preparedness in negative terms. Tweets with visual aids have higher engagement rates, while those with URLs do not. Finally, tweets use different preparedness response frames and tend to use different gain-/ loss-frames. Specifically, tweets emphasizing situational awareness to alert the public about ticks and tickborne diseases predominantly utilize loss-frames, emphasizing higher risks than tool acquisition or research frames.The study’s findings underscore the importance of strategic communication in public health messaging on social media. By understanding the types of content that generate higher engagement and the framing that resonates with audiences, health organizations and other stakeholders can tailor their communications better to inform the public about tick risks and prevention strategies. This could lead to more effective disease prevention efforts and a better-informed public ready to take appropriate actions to protect themselves from tickborne diseases.
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