Sergio Arce-García, E. Said-Hung, Julio Montero-Díaz
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引用次数: 0
摘要
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。
Unmasking coordinated hate: Analysing hate speech on Spanish digital news media
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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