Exploratory Spatiotemporal Analysis in Risk Communication during the MERS Outbreak in South Korea
Exploratory Spatiotemporal Analysis in Risk Communication during the MERS Outbreak in South Korea
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DOI：
10.1080/00330124.2017.1288577
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发表时间：
2017-01-01
影响因子：
1.8
通讯作者：
Tsou, Ming-Hsiang
中科院分区：
文献类型：
--
作者：
Kim, Ick-Hoi;Feng, Chen-Chieh;Tsou, Ming-Hsiang
2015年中东呼吸综合征（MERS）在韩国爆发，引发了心理焦虑引起的混乱，人们一直认为人们通过社交媒体分享了关于医院名单的谣言。分享谣言是疫情期间公众感知和个人之间风险沟通的常见形式。社会媒体分析为了解公众对疾病爆发的看法和风险沟通的时空模式提供了一个重要窗口。这种以社会为媒介的风险沟通过程是一种模因扩散过程。本文旨在探讨社会媒体模因扩散及其时空模式在公众认知和风险沟通中的作用。为此，我们应用了分析方法，包括大城市的每日推文数量和加权平均中心的地理可视化。由真实的空间事件触发的Twitter用户对特定地点的兴趣所表现出的时空模式，展示了公众感知和风险沟通中地点之间的空间互动。公众的看法和风险沟通的地方是相关的社交网络和空间接近Twitter用户的生活，并在Zipf的法律和Tobler的法律参考解释。
The 2015 Middle East respiratory syndrome (MERS) outbreak in South Korea gave rise to chaos caused by psychological anxiety, and it has been assumed that people shared rumors about hospital lists through social media. Sharing rumors is a common form of public perception and risk communication among individuals during an outbreak. Social media analysis offers an important window into the spatiotemporal patterns of public perception and risk communication about disease outbreaks. Such processes of socially mediated risk communication are a process of meme diffusion. This article aims to investigate the role of social media meme diffusion and its spatiotemporal patterns in public perception and risk communication. To do so, we applied analytical methods including the daily number of tweets for metropolitan cities and geovisualization with the weighted mean centers. The spatiotemporal patterns shown by Twitter users' interests in specific places, triggered by real space events, demonstrate the spatial interactions among places in public perception and risk communication. Public perception and risk communication about places are relevant to both social networks and spatial proximity to where Twitter users live and are interpreted in reference to both Zipf's law and Tobler's law.