Detection and Analysis of Offensive Online Content in Hausa Language
Fatima Muhammad Adam,
Abubakar Yakubu Zandam,
Isa Inuwa-Dutse
Abstract:Hausa, a major Chadic language spoken by over 100 million people in Africa, faces a challenge in the digital age. While widely used, it is considered a low-resource language from a computational linguistic perspective. This means there are limited resources and tools to analyse Hausa text, making it difficult to detect offensive and threatening language online. Our study aimed to bridge this gap. We conducted two user studies (n = 180) to understand cyberbullying in Hausa. We then created the first-ever datase… Show more
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