Social media for intelligent public information and warning in disasters: An interdisciplinary review
Social media for intelligent public information and warning in disasters: An interdisciplinary review
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DOI：
10.1016/j.ijinfomgt.2019.04.004
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发表时间：
2019-12
期刊：
影响因子：
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通讯作者：
Cheng Zhang;Chao Fan;Wenlin Yao;Xia Hu;A. Mostafavi
中科院分区：
文献类型：
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作者：
Cheng Zhang;Chao Fan;Wenlin Yao;Xia Hu;A. Mostafavi
社交媒体为公共信息和预警方法提供了参与和协作结构以及集体知识建设能力。因此，笔者设想了基于社会媒体的灾害智能公共信息和预警，它具有三个功能：（1）高效和有效地获取灾害态势感知信息，（2）支持自组织的点对点帮助活动，（3）使灾害管理机构能够听到公众的声音。为了实现这一愿景，本研究的作者检查了2008年至2018年进行的304项研究，以系统地评估当前文献，了解社交媒体上的传播现象以及灾害中社交媒体信息学的最新研究。然后，该综述确定了现有研究的挑战，并提出了一个研究路线图，以解决实现愿景的挑战。这篇评论可以作为一个桥梁，研究人员在灾害中的社会媒体工作，了解这个问题在其他相关领域的最新发展。这项审查的结果突出了某些研究领域的价值，例如，(1)具有语义互操作性的细粒度灾难社交媒体本体，（2）趋势信息和新兴有影响力用户的网络模式，（3）对基础设施中断造成的社会影响的细粒度评估，以及（4）灾难期间社交媒体使用的最佳实践。
Social media offers participatory and collaborative structure and collective knowledge building capacity to the public information and warning approaches. Therefore, the author envisions the intelligent public information and warning in disaster based on social media, which has three functions: (1) efficiently and effectively acquiring disaster situational awareness information, (2) supporting self-organized peer-to-peer help activities, and (3) enabling the disaster management agencies to hear from the public. To achieve this vision, authors of this study examined 304 studies conducted 2008 through 2018 to systemically evaluate the current literature in understanding the phenomena of communication on social media and the state-of-the-art studies on social media informatics in disasters. This review then identified the challenges of existing studies and proposed a research roadmap to address the challenges of achieving the vision. This review could serve as a bridge for researchers working on social media in disasters to understand the state-of-the-art of this problem in other related domains. The findings of this review highlight the value of certain research areas, e.g., (1) a fine-grained disaster social media ontology with semantic interoperability, (2) network pattern of trending information and emerging influential users, (3) fine-grained assessment of societal impacts due to infrastructure disruptions, and (4) best practices for social media usage during disasters.