Accounting for Offensive Speech as a Practice of Resistance

Mark Díaz, Razvan Amironesei, Laura Weidinger, Iason Gabriel
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引用次数: 3

Abstract

Tasks such as toxicity detection, hate speech detection, and online harassment detection have been developed for identifying interactions involving offensive speech. In this work we articulate the need for a relational understanding of offensiveness to help distinguish denotative offensive speech from offensive speech serving as a mechanism through which marginalized communities resist oppressive social norms. Using examples from the queer community, we argue that evaluations of offensive speech must focus on the impacts of language use. We call this the cynic perspective– or a characteristic of language with roots in Cynic philosophy that pertains to employing offensive speech as a practice of resistance. We also explore the degree to which NLP systems may encounter limits to modeling relational context.
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作为一种抵抗实践的攻击性言论的解释
毒性检测、仇恨言论检测和在线骚扰检测等任务已经开发出来,用于识别涉及攻击性言论的互动。在这项工作中,我们阐明了对冒犯性的关系理解的必要性,以帮助区分外延性冒犯性言论和作为边缘化社区抵抗压迫性社会规范机制的冒犯性言论。以酷儿群体为例,我们认为对冒犯性言论的评估必须集中在语言使用的影响上。我们称之为愤世嫉俗的观点——或者是源于愤世嫉俗哲学的一种语言特征,它涉及到使用攻击性言论作为一种抵抗的实践。我们还探讨了NLP系统在建模关系上下文时可能遇到的限制程度。
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Accounting for Offensive Speech as a Practice of Resistance The subtle language of exclusion: Identifying the Toxic Speech of Trans-exclusionary Radical Feminists Counter-TWIT: An Italian Corpus for Online Counterspeech in Ecological Contexts Cleansing & expanding the HURTLEX(el) with a multidimensional categorization of offensive words HATE-ITA: Hate Speech Detection in Italian Social Media Text
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