Regularity Versus Novelty of Users' Multimodal Comment Patterns and Dynamics as Markers of Social Media Radicalization

Aaron Necaise, Aneka Williams, Hana Vrzakova, M. J. Amon
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引用次数: 3

Abstract

Although the internet is a means for disseminating information and facilitating social interactions, these benefits are limited due to individuals' propensity for engaging within a narrow range of communities that share similar beliefs. A portion of these online communities facilitate radicalist viewpoints, including toward marginalized populations, contributing to misbehavior and exacerbating social inequalities. Although a variety of theories propose to explain the processes of online radicalization, less work has empirically examined how users' communication patterns change over time, especially in terms of novelty versus regularity of user comment features. The present research demonstrates a new modeling approach for examining the extent to which low-level, multimodal comment patterns evolve as users communicate within a Reddit forum well-known for its extreme misogynism. Our results confirm that low-level comment patterns predict high-level features of radicalization, aligning with theory on attitude polarization and contributing to literature on detection and interventions to mitigate extremism.
用户多模态评论模式与动态作为社交媒体激进化标志的规律性与新颖性
虽然互联网是传播信息和促进社会互动的一种手段,但由于个人倾向于在一个有着相似信仰的狭窄范围内参与,这些好处是有限的。这些网络社区的一部分助长了激进主义观点,包括针对边缘人群的观点,助长了不当行为,加剧了社会不平等。尽管有各种各样的理论提出解释在线激进化的过程,但很少有工作实证研究用户的交流模式如何随着时间的推移而变化,特别是在用户评论功能的新颖性与规律性方面。目前的研究展示了一种新的建模方法,用于检查用户在以极端厌恶女性而闻名的Reddit论坛上交流时,低级别的多模态评论模式的演变程度。我们的研究结果证实,低水平的评论模式可以预测高水平的激进化特征,这与态度极化理论相一致,并有助于有关发现和干预极端主义的文献。
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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