The “chanification” of white supremacist extremism

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational and Mathematical Organization Theory Pub Date : 2024-09-18 DOI:10.1007/s10588-024-09390-1
Michael Miller Yoder, David West Brown, Kathleen M. Carley
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Abstract

Much research has focused on the role of the alt-right in pushing far-right narratives into mainstream discourse. In this work, we focus on the alt-right’s effects on extremist narratives themselves. From 2012 to 2017, we find a rise in alt-right, 4chan-like discourse styles across multiple communication platforms known for white supremacist extremism, such as Stormfront. This discourse style incorporates inflammatory insults, irreverent comments, and talk about memes and online “chan” culture itself. A network analysis of one far-right extremist platform suggests that central users adopt and spread this alt-right style. This analysis has implications for understanding influence and change in online white supremacist extremism, as well as the role of style in white supremacist communications. Warning: This paper contains examples of hateful and offensive language.

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白人至上主义极端主义的 "禅化
许多研究都集中于极右翼在将极右翼叙事推向主流话语方面所起的作用。在这项工作中,我们重点研究了另类右翼对极端主义叙事本身的影响。从 2012 年到 2017 年,我们发现在以白人至上主义极端主义著称的多个交流平台(如 Stormfront)上,类似 4chan 的另类右翼话语风格有所抬头。这种话语风格包括煽动性的侮辱、不敬意的评论,以及对备忘录和网络 "chan "文化本身的谈论。对一个极右极端主义平台的网络分析表明,中心用户采用并传播了这种极右风格。这项分析对理解网络白人至上极端主义的影响和变化以及风格在白人至上主义传播中的作用具有重要意义。警告:本文包含仇恨和攻击性语言的例子。
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来源期刊
Computational and Mathematical Organization Theory
Computational and Mathematical Organization Theory COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
3.80
自引率
16.70%
发文量
14
审稿时长
>12 weeks
期刊介绍: Computational and Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society. The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research. The papers in this journal will lead to the development of newtheories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for integrating data, computational models, analysis and visualization techniques. Various types of papers and underlying research are welcome. Papers presenting, validating, or applying models and/or computational techniques, new algorithms, dynamic metrics for networks and complex systems and papers comparing, contrasting and docking computational models are strongly encouraged. Both applied and theoretical work is strongly encouraged. The editors encourage theoretical research on fundamental principles of social behaviour such as coordination, cooperation, evolution, and destabilization. The editors encourage applied research representing actual organizational or policy problems that can be addressed using computational tools. Work related to fundamental concepts, corporate, military or intelligence issues are welcome.
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