Influenced speech: machine learning and hate speech
Abstract
This paper addresses the issue of discriminatory computer programs from the perspective of the philosophy of language. In this discipline, the literature on hate speech has focused its analysis on the effects on oppressed groups. The central idea of the present paper will be to develop a new notion, influenced speech, which will allow us to explain what the oppressor group is led to assert on the basis of systematic oppression. Thus, influenced speech will make it possible both to explain the social reproduction of hate speech and to theoretically frame the discriminatory statements made by the aforementioned computer programs.
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