利用格兰杰因果关系量化社交媒体对 1 月 6 日美国国会大厦暴动期间暴力事件的预测。

IF 3.7 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Journal of The Royal Society Interface Pub Date : 2024-11-01 Epub Date: 2024-11-06 DOI:10.1098/rsif.2024.0314
Qinghua Li, Brayden G King, Brian Uzzi
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引用次数: 0

摘要

在工业化国家,涉及暴力的抗议活动越来越多,并被视为集体暴力增加的一个可能来源。然而,我们对暴力抗议与领导人在抗议期间在社交媒体上的交流有何关系的科学认识仍处于起步阶段。在此,我们分析了 1 月 6 日 "美国国会大厦游行 "的新数据,以量化领导力、社交媒体和暴力程度之间的联系。利用数千个现场录像视频、特朗普的推文和集会演讲、其他集会演讲和 #StopTheSteal 推文的数据,我们采用格兰杰回归方法分析了前总统特朗普的推文、#StopTheSteal 推文、集会演讲与暴乱期间爆发暴力和使用武器的严重程度和持续时间之间的联系。我们发现,特朗普的推文预测了暴乱者暴力和武器使用的爆发程度和持续时间。特朗普的推文还预测了 #StopTheSteal 推文的数量和情绪的变化,而这反过来又解释了骚乱过程中暴力和武器使用水平的额外差异。我们的研究结果揭示了新的行为模式,这些模式将抗议期间权威人物的网络行为与和平抗议向暴力的转变联系在一起。
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Quantifying social media predictors of violence during the 6 January US Capitol insurrection using Granger causality.

Protests involving brute force are growing in number and are viewed as a likely source of increased collective violence in industrialized nations. Yet, our scientific understanding of how violent protests are related to a leader's social media communications during protests remains nascent. Here, we analyse new data from the 6 January 'march on the US Capitol' to quantify the links between leadership, social media and levels of violence. Using data on thousands of live footage videos, Trump's tweets and rally speech, other rally speeches and #StopTheSteal tweets, we apply Granger regression methods to analyse the links between former President Trump's tweets, #StopTheSteal tweets, rally speeches and the severity and duration of outbreaks of violence and weapons use during the riot. We find that Trump's tweets predict bursts in rioters' levels and duration of violence and weapons use. Trump's tweets also predict changes in the volume and sentiments of #StopTheSteal tweets, which in turn explain additional variance in levels of violence and weapons use over the course of the riot. Our findings reveal new patterns of behaviour that link an authority figure's online behaviour during a protest and the shift from peaceful protesting to violence.

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来源期刊
Journal of The Royal Society Interface
Journal of The Royal Society Interface 综合性期刊-综合性期刊
CiteScore
7.10
自引率
2.60%
发文量
234
审稿时长
2.5 months
期刊介绍: J. R. Soc. Interface welcomes articles of high quality research at the interface of the physical and life sciences. It provides a high-quality forum to publish rapidly and interact across this boundary in two main ways: J. R. Soc. Interface publishes research applying chemistry, engineering, materials science, mathematics and physics to the biological and medical sciences; it also highlights discoveries in the life sciences of relevance to the physical sciences. Both sides of the interface are considered equally and it is one of the only journals to cover this exciting new territory. J. R. Soc. Interface welcomes contributions on a diverse range of topics, including but not limited to; biocomplexity, bioengineering, bioinformatics, biomaterials, biomechanics, bionanoscience, biophysics, chemical biology, computer science (as applied to the life sciences), medical physics, synthetic biology, systems biology, theoretical biology and tissue engineering.
期刊最新文献
Model-informed optimal allocation of limited resources to mitigate infectious disease outbreaks in societies at war. Physical mechanism reveals bacterial slowdown above a critical number of flagella. Cooperative control of environmental extremes by artificial intelligent agents. Quantifying social media predictors of violence during the 6 January US Capitol insurrection using Granger causality. Seeing the piles of the velvet bending under our finger sliding over a tactile stimulator improves the feeling of the fabric.
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