论文标题
#ISI与#ActionCounterSterRorism:极端主义和反对twitter叙事的计算分析
#ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives
论文作者
论文摘要
网络空间的迅速扩展极大地促进了传统犯罪向在线平台的战略转变。这包括恶意演员,例如极端主义组织,利用在线网络通过激进的人传播宣传和煽动暴力。在本文中,我们试图通过探索极端组织的支持者如何制作并传播其内容,以及如何与外部主义机构的发布与他们相比,通过探索如何制作其内容来推进当前的研究。特别是,这项研究将采用计算技术来分析各种亲密主义者和反对者的Twitter帐户的叙述,并研究信息背后的心理动机如何比较亲ISIS和反对叙事之间。我们的发现表明,与跨不同类型的组织(包括政府和非政府组织的帐户)相比,亲超人的帐户经常使用不同的策略来传播内容(例如所使用的主题标签类型)。通过这项研究,我们为社交媒体平台上的极端主义和反对叙事提供了独特的见解。此外,我们定义了几种途径,讨论了有关在多大程度上有效减少极端主义和其他犯罪组织在线影响的程度的程度。
The rapid expansion of cyberspace has greatly facilitated the strategic shift of traditional crimes to online platforms. This has included malicious actors, such as extremist organisations, making use of online networks to disseminate propaganda and incite violence through radicalising individuals. In this article, we seek to advance current research by exploring how supporters of extremist organisations craft and disseminate their content, and how posts from counter-extremism agencies compare to them. In particular, this study will apply computational techniques to analyse the narratives of various pro-extremist and counter-extremist Twitter accounts, and investigate how the psychological motivation behind the messages compares between pro-ISIS and counter-extremism narratives. Our findings show that pro-extremist accounts often use different strategies to disseminate content (such as the types of hashtags used) when compared to counter-extremist accounts across different types of organisations, including accounts of governments and NGOs. Through this study, we provide unique insights into both extremist and counter-extremist narratives on social media platforms. Furthermore, we define several avenues for discussion regarding the extent to which counter-messaging may be effective at diminishing the online influence of extremist and other criminal organisations.