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HERDPhobia: A Dataset for Hate Speech against Fulani in Nigeria

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arxiv 2211.15262 v1 pith:3ZT6CI7B submitted 2022-11-28 cs.CL

Saminu Mohammad Aliyu , Gregory Maksha Wajiga , Muhammad Murtala , Shamsuddeen Hassan Muhammad , Idris Abdulmumin , Ibrahim Said Ahmad This is my paper · ORCID
classification cs.CL
keywords datasetfulanihateherdphobiaexperimentlanguagesnigeriaspeech
verification ladder T0 review T1 audit T2 compute T3 formal
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Social media platforms allow users to freely share their opinions about issues or anything they feel like. However, they also make it easier to spread hate and abusive content. The Fulani ethnic group has been the victim of this unfortunate phenomenon. This paper introduces the HERDPhobia - the first annotated hate speech dataset on Fulani herders in Nigeria - in three languages: English, Nigerian-Pidgin, and Hausa. We present a benchmark experiment using pre-trained languages models to classify the tweets as either hateful or non-hateful. Our experiment shows that the XML-T model provides better performance with 99.83% weighted F1. We released the dataset at https://github.com/hausanlp/HERDPhobia for further research.

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  1. BIDWESH: A Bangla Regional Based Hate Speech Detection Dataset

    cs.CL 2025-07 conditional novelty 5.0 of 10

    BIDWESH is a new 9,183-instance Bangla dialectal hate speech corpus covering Barishal, Noakhali, and Chittagong.

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