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Ebola and the rhetoric of US newspapers: assessing quality risk communication in public health emergencies

机译:埃博拉病毒与美国报纸的言论:评估公共卫生紧急情况下的质量风险沟通

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The 2014 West African Ebola outbreak was the first to be actively covered by the US media because of cases treated on US soil. Despite little chance of widespread contagion, US media termed Ebola 'apocalyptic.' The objective of this study was to understand how information about Ebola provided to the public through US newspapers was presented to assess how risk communication principles were or were not used. We conducted a systematic content analysis using a purposive sample of 75 news articles published in five US newspapers between 1 August and 31 October 2014. The articles were analyzed using the Dudo et al. framework, based on the extended parallel process model, and assessed for self-efficacy information, personal risk conceptualization (risk magnitude and risk comparison information), and content framing. We found that while coverage was mostly factual, it inconsistently presented quality risk-related information, and rarely used contextual information that would help readers accurately assess risk. Few articles also provided usable, actionable directives, a tenet of good crisis communication that enhances self-efficacy and lowers risk perception. Results inform how news coverage can affect public risk perception of a new, 'exotic' pathogen, and how in the case of Ebola US newspapers may have contributed to the inflated risk perception observed in the US population, and may support better, more comprehensive media response during likely future outbreaks.
机译:2014年西非埃博拉病毒爆发是首次在美国媒体上报道,原因是案件在美国本土进行了处理。尽管蔓延的可能性很小,但美国媒体称埃博拉为“世界末日”。这项研究的目的是了解如何通过美国报纸向公众提供有关埃博拉的信息,以评估如何使用或不使用风险交流原则。我们使用2014年8月1日至10月31日期间在五家美国报纸上发表的75篇新闻文章的有意样本进行了系统的内容分析。文章使用Dudo等人进行了分析。框架,基于扩展的并行流程模型,并针对自我效能信息,个人风险概念化(风险大小和风险比较信息)和内容框架进行了评估。我们发现,虽然报道大多是事实性的,但却不一致地显示了与质量风险相关的信息,并且很少使用会帮助读者准确评估风险的上下文信息。很少有文章提供可用的,可操作的指令,良好的危机沟通宗旨,可以提高自我效能并降低风险感知。结果表明新闻报道如何影响公众对新的“异国”病原体的风险认识,以及在埃博拉病毒的情况下,美国报纸如何助长了在美国人口中观察到的膨胀的风险感知,并可能支持更好,更全面的媒体在未来可能爆发时做出反应。

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