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Rethinking Social Amplification of Risk: Social Media and Zika in Three Languages

机译:对风险的社会放大的反思:三种语言的社交媒体和寨卡

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Using the Zika outbreak as a context of inquiry, this study examines how assigning blame on social media relates to the social amplification of risk framework (SARF). Past research has discussed the relationship between the SARF and traditional mass media, but the role of social media platforms in amplification or attenuation of risk perceptions remains understudied. Moreover, the communication and perceptions of Zika-related risk are not limited to discussions in English. To capture conversations in languages spoken by affected countries, this study combines data in English, Spanish, and Portuguese. To better understand the assignment of blame and perceptions of risk in new media environments, we looked at three different facets of conversations surrounding Zika on Facebook and Twitter: the prominence of blame in each language, how specific groups were discussed throughout the Zika outbreak, and the sentiment expressed about genetically engineered (GE) mosquitoes. We combined machine learning with human coding to analyze public discourse in all three languages. We found differences between languages and platforms in the amount of blame assigned to different groups. We also found more negative sentiments expressed about GE mosquitoes on Facebook than on Twitter. These meaningful differences only emerge from analyses across the three different languages and platforms, pointing to the importance of multilingual approaches for risk communication research. Specific recommendations for outbreak and risk communication practitioners are also discussed.
机译:本研究使用寨卡病毒爆发作为调查的背景,研究了将责任归咎于社交媒体与风险框架的社会放大之间的关系。过去的研究已经讨论了SARF与传统大众媒体之间的关系,但是社交媒体平台在放大或减弱风险感知中的作用仍未被研究。此外,与寨卡病毒有关的风险的沟通和理解不仅仅限于英语讨论。为了捕获受影响国家使用的语言进行的对话,本研究结合了英语,西班牙语和葡萄牙语的数据。为了更好地理解新媒体环境中的责任归咎和对风险的理解,我们研究了围绕Zika在Facebook和Twitter上进行对话的三个不同方面:每种语言的责任归咎于人们,在Zika爆发期间如何讨论特定的群体以及人们对转基因蚊子的态度有所表达。我们将机器学习与人类编码相结合,以分析所有三种语言的公共话语。我们发现,语言和平台在分配给不同组的责任数量上存在差异。我们还发现,与在Twitter上相比,Facebook上有关GE蚊子的负面情绪更多。这些有意义的差异仅来自对三种不同语言和平台的分析,指出了多语言方法在风险沟通研究中的重要性。还讨论了针对爆发和风险沟通从业者的具体建议。

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