Applied Methodology for Identifying Hurricane-Induced Social Media Signal Changes in Vulnerable Populations
Applied Methodology for Identifying Hurricane-Induced Social Media Signal Changes in Vulnerable Populations
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识别飓风引起的弱势群体社交媒体信号变化的应用方法
DOI：
10.1061/9780784482445.067
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Taylor, John E.
中科院分区：
文献类型：
--
作者：
Samuels, Rachel;Taylor, John E.
目前的危机信息学研究使用社交媒体来识别人类的位置和行为，但忽略了识别哪些人群在灾难期间可能会被阻止使用社交媒体。不幸的是，大多数危机信息学关注的要么是个人帖子，要么是对信号变化的大规模分析，可能会忽视或歪曲弱势群体。为了评估这一点，我们利用缩放的空间网络和分类的人口和脆弱性指数数据，以确定社交媒体信号偏差与遭受哈维飓风严重基础设施破坏的地区内的脆弱人群之间的关系。许多研究发现，遭受飓风破坏的地区与Twitter活动增加之间存在很强的正相关性;然而，我们发现，受灾严重的地区有更多的老年人，残疾人和无法使用车辆的人，而不是在灾难期间与Twitter活动显着负相关。在定义这种关系时，我们表明，在灾害期间，一些弱势群体的社交媒体知名度有所下降，而不是增加。这些研究结果确定了在灾害中人类作为传感器的数据的标量表示中的人口不平等。
Current crisis informatics research using social media to identify human location and behavior has neglected to identify which populations may be prevented from using social media during a disaster. Unfortunately, most crisis informatics focuses on either individual postings or large-scale analyses of signal changes and is potentially overlooking or misrepresenting vulnerable populations. To assess this, we utilize scaled spatial nets and disaggregated population and vulnerability index data in order to identify relationships between social media signal deviation and vulnerable populations within areas that experienced substantial infrastructural damage from Hurricane Harvey. Many studies have identified a strong positive correlation between areas experiencing high amounts of hurricane damage and increased Twitter activity; however, we find that highly damaged areas with more elderly people, disabled people, and people without access to vehicles instead have a significant negative correlation with Twitter activity during disaster. In defining this relationship, we show that some vulnerable populations have decreased instead of increased social media visibility during disasters. These findings identify demographic inequalities in the scalar representation of data from humans-as-sensors in disaster.
影响因子：
9.9
作者：
M. Roshan;M. Warren;Rodney Carr
通讯作者：
Rodney Carr
影响因子：
3.7
作者：
Wang, Yan;Taylor, John E.
通讯作者：
Taylor, John E.
社交媒体——危机应对可行吗？：圣地亚哥大停电/西南大停电的经验
DOI：
--
发表时间：
2012
期刊：
International Journal of Information Systems for Crisis Response and Management
影响因子：
--
作者：
M. Jennex
通讯作者：
M. Jennex