Unmasking coordinated hate: Analysing hate speech on Spanish digital news media

Sergio Arce-García, E. Said-Hung, Julio Montero-Díaz
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Abstract

This study examines the characteristics and behaviours of accounts that propagate hate speech through their responses to articles posted on five leading digital news media in Spain on Platform X (previously Twitter). Using non-experimental quantitative research, we analysed 1345 hate-expressing messages from 173,449 user comments on content shared in five leading digital news media during January 2021. Network analysis, the Homophilic Exposure Index (HEI), regression analysis and the k-means algorithm were used to identify features that characterize accounts that disseminate low-intensity hate expressions in a coordinated manner, undermining the moderation efforts of digital news media. As a result, digital news media must develop strategies to reduce the presence of this type of expression and confront accounts that operate covertly in a coordinated manner, using Astroturfing to manipulate debates around the content published on X.
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揭开协调仇恨的面纱:分析西班牙数字新闻媒体上的仇恨言论
本研究探讨了通过回复西班牙五家主要数字新闻媒体在 X 平台(之前的 Twitter)上发布的文章来传播仇恨言论的账户的特征和行为。通过非实验性定量研究,我们分析了 2021 年 1 月期间 173,449 条用户评论中的 1345 条仇恨言论信息,这些评论是针对五家主要数字新闻媒体分享的内容。我们使用网络分析、嗜同暴露指数(HEI)、回归分析和 k-means 算法来识别那些以协调方式传播低强度仇恨表达的账户的特征,从而破坏数字新闻媒体的审核工作。因此,数字新闻媒体必须制定战略,减少这类表达的出现,并对抗以协调方式暗中运作的账户,利用 Astroturfing 操纵围绕 X 上发布的内容的辩论。
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