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- W3186885973 abstract "Hate speech in user comments is a serious challenge for media actors, platforms, legal authorities, and the general public alike. This form of communication can impair the quality of online discussions, but also poison public discourse and civic life. This explains the plethora of studies from different disciplines addressing this topic. However, the diversity of disciplines and approaches complicate a common understanding of hate speech. Frequently, definitions are too broad, as they include factors such as the intention of the commenter or the consequences for stigmatized groups. Additionally, binary categorizations (hate/no hate) applied in some disciplines fail to consider that hate speech varies gradually and ignore qualitative differences of hate speech dimensions. The present research suggests a feature-based approach to analyze hate speech in user comments focusing on manifest features (group-related labels, swear words, trait and action attributions as well as treatment recommendations), and demonstrates its use in a pilot study." @default.
- W3186885973 created "2021-08-02" @default.
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- W3186885973 date "2020-12-01" @default.
- W3186885973 modified "2023-09-27" @default.
- W3186885973 title "Une approche multicomposante pour analyser le discours haineux dans les commentaires en ligne" @default.
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- W3186885973 doi "https://doi.org/10.4000/questionsdecommunication.24808" @default.
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