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Multilingual and Multi-Aspect Hate Speech Analysis

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arxiv 1908.11049 v1 pith:2Z2YZNYX submitted 2019-08-29 cs.CL

Nedjma Ousidhoum , Zizheng Lin , Hongming Zhang , Yangqiu Song , Dit-Yan Yeung This is my paper · ORCID
classification cs.CL
keywords hatespeechanalysisclassificationmultilingualcurrentdatasetmulti-aspect
verification ladder T0 review T1 audit T2 compute T3 formal
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Current research on hate speech analysis is typically oriented towards monolingual and single classification tasks. In this paper, we present a new multilingual multi-aspect hate speech analysis dataset and use it to test the current state-of-the-art multilingual multitask learning approaches. We evaluate our dataset in various classification settings, then we discuss how to leverage our annotations in order to improve hate speech detection and classification in general.

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  1. Explainable AI: XAI-Guided Context-Aware Data Augmentation

    cs.CL 2025-06 conditional novelty 4.0 of 10

    XAI-guided augmentation that replaces the least important words, identified by Integrated Gradients, with back-translated synonyms or paraphrases improves hate speech and sentiment classification accuracy by up to 8 p...

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