On the Dynamics of Narratives of Crisis during Terror Attacks

Lisa Grobelscheg, Karolina Śliwa, Ema Kusen, Mark Strembeck
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引用次数: 0

Abstract

We present an analysis of the narratives that emerged on Twitter during four different terror attacks. To this end, we analyze a data-set consisting of more than five million Twitter messages. We use the structural topic model (STM) approach to automatically detect six narratives of crisis. Our findings indicate that i) Twitter users are highly engaged in the dissemination of operational and memorial narratives, ii) emotions and narratives directed towards authority accounts dominate the discourse regarding the entire event, iii) the presence of positive authority nodes (i.e. authority nodes who are predominantly perceived as being positive) directly impacts the type of a discourse and fuels hopeful memorial narratives to a larger extent than accusations and blaming.
论恐怖袭击中危机叙事的动态
我们对四次不同的恐怖袭击期间出现在Twitter上的叙述进行了分析。为此,我们分析了一个由500多万条Twitter消息组成的数据集。我们使用结构主题模型(STM)方法自动检测六种危机叙事。我们的研究结果表明,i) Twitter用户高度参与了操作性和纪念性叙事的传播,ii)针对权威账户的情绪和叙事主导了整个事件的话语,iii)积极权威节点(即主要被认为是积极的权威节点)的存在直接影响了话语的类型,并在更大程度上激发了充满希望的纪念叙事,而不是指责和指责。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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