Automatic Translation of Hate Speech to Non-hate Speech in Social Media Texts
This addresses the issue of hate speech spread in online communities, but it is incremental as it presents a new task with initial baselines rather than a breakthrough solution.
The paper tackles the problem of hate speech by introducing a novel task of translating hate speech into non-hate speech while preserving meaning, using Spanish texts as a case study, and provides a dataset and baseline results evaluated with metrics like BLEU scores.
In this paper, we investigate the issue of hate speech by presenting a novel task of translating hate speech into non-hate speech text while preserving its meaning. As a case study, we use Spanish texts. We provide a dataset and several baselines as a starting point for further research in the task. We evaluated our baseline results using multiple metrics, including BLEU scores. The aim of this study is to contribute to the development of more effective methods for reducing the spread of hate speech in online communities.