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Understanding crisis communication on social media with CERC: topic model analysis of tweets about Hurricane Maria
Journal of Risk Research ( IF 2.4 ) Pub Date : 2020-11-26 , DOI: 10.1080/13669877.2020.1848901
Xianlin Jin 1 , Patric R. Spence 2
Affiliation  

Abstract

This study outlines the communication patterns that emerged throughout phases of Hurricane Maria according to the crisis and emergency risk communication model. Topic model analysis, latent semantic analysis, and word-cloud analysis were utilized to capture the complexity of communication through this extreme event. Topics that emerged during different phases of the event are discussed. Findings concerning communication use and content were consistent with previous research. However, the use of topic model analysis allowed for a more comprehensive understanding of communication during a natural disaster and uncovered communication patterns that are less represented in the existing literature. Implications and theory development in the case of crises alongside big data tools in crisis communication are discussed.



中文翻译:

通过 CERC 了解社交媒体上的危机沟通:关于飓风玛丽亚的推文的主题模型分析

摘要

本研究根据危机和紧急情况风险沟通模型概述了在飓风玛丽亚各个阶段出现的沟通模式。利用主题模型分析、潜在语义分析和词云分析来捕捉通过这种极端事件进行的交流的复杂性。讨论了在活动的不同阶段出现的主题。关于通信使用和内容的发现与之前的研究一致。然而,主题模型分析的使用允许更全面地了解自然灾害期间的通信,并揭示了现有文献中较少代表的通信模式。讨论了危机情况下的影响和理论发展以及危机沟通中的大数据工具。

更新日期:2020-11-26
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