A Federated Approach for Hate Speech Detection

Deep Gandhi; Jash Mehta; Jay Gala; Zeerak Talat

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arxiv 2302.09243 v1 pith:Q7AYNC67 submitted 2023-02-18 cs.LG cs.AIcs.CL

A Federated Approach for Hate Speech Detection

Jay Gala , Deep Gandhi , Jash Mehta , Zeerak Talat This is my paper

classification cs.LG cs.AIcs.CL

keywords detectionhatespeechattentionfederatedlearningmachineprivacy

verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

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Hate speech detection has been the subject of high research attention, due to the scale of content created on social media. In spite of the attention and the sensitive nature of the task, privacy preservation in hate speech detection has remained under-studied. The majority of research has focused on centralised machine learning infrastructures which risk leaking data. In this paper, we show that using federated machine learning can help address privacy the concerns that are inherent to hate speech detection while obtaining up to 6.81% improvement in terms of F1-score.

A Federated Approach for Hate Speech Detection

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