---
license: apache-2.0
task_categories:
- text-classification
language:
- ha
tags:
- hatespeech
- hausalanguage
- africanlanguages
- NLP
- LLMs
- ML
pretty_name: HausaHate
---



# Evaluation Benchmark for Hausa Hate Speech Detection

We introduce the first expert annotated corpus of Facebook comments for Hausa hate speech detection. 
The corpus titled HausaHate comprises <b>2,000 comments</b> extracted from Western African Facebook pages and
manually annotated by three Hausa native speakers, who are also NLP experts. 
The corpus was annotated using two different layers. We first labeled each comment according to a 
binary classification: <b>offensive versus non-offensive</b>. Then, offensive comments were also labeled 
according to hate speech targets: <b>race, gender and none</b>. 


# Paper

<b>HausaHate: An Expert Annotated Corpus for Hausa Hate Speech Detection</b> <br>
Francielle Vargas, Samuel Guimarães, Shamsuddeen H. Muhammad, Diego Alves, Ibrahim Said Ahmad, Idris Abdulmumin, Diallo Mohamed, Thiago Pardo, Fabrício Benevenuto <br>
<i>8th Workshop on Online Abuse and Harms (WOAH @ NAACL 2024)</i> <br>
Mexico City, Mexico. https://aclanthology.org/2024.woah-1.5/