规则1:记住人。一项关于Reddit论坛的社会认知话语研究,该论坛因宣扬基于身份的仇恨而被禁止

J. Dilkes
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引用次数: 0

摘要

自动检测网络仇恨言论是一项重要但困难的任务,被认为存在道德问题。与典型的计算机科学方法相比,目前的研究侧重于语言的心理意义方面,而不是预先定义为仇恨的术语。数据包括一个性别批判女权主义团体的自然话语,该团体因宣扬基于身份的仇恨而被Reddit讨论平台禁止;这与Reddit上一个女权主义团体的言论进行了比较,后者并未被禁止。性别批判群体中具有重要心理意义的术语包括指代性别批判外群体的第三人称复数代词和转喻缩略词,它们可能代表外群体的贬义和外群体的同质性。值得注意的是,被禁的论坛是一个在线社区,可能会以公认的方式回应身份威胁。结论是,社会认知话语方法检测仇恨言论可能有助于解决相关的伦理问题,包括潜在的社会不公正。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rule 1: Remember the human. A socio-cognitive discourse study of a Reddit forum banned for promoting hate based on identity
Detecting internet hate speech automatically is an important but difficult task that is recognised as ethically problematic. In comparison to typical computer science approaches, the current study focuses on psychologically meaningful aspects of language, and not on terms pre-defined as hateful. Data consists of the naturally occurring discourse of a gender critical feminist group banned from the Reddit discussion platform for promoting hate based on identity; this is compared with discourse of a feminist group from Reddit, that has not been banned. Notable psychologically meaningful terms of the gender critical group include third-person plural pronouns, and metonymic acronyms that reference the gender critical outgroup, which may represent outgroup derogation, and outgroup homogeneity. It is noted that the banned forum, which is shown to be an online community, may be responding to threats to identity in recognised ways. It is concluded that a socio-cognitive discourse approach to hate speech detection may help address related ethical concerns, including potential social injustice.
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