HERDPhobia: A Dataset for Hate Speech against Fulani in Nigeria
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.
Code (1)
Similar Papers 제목 키워드 기반
HateModerate: Testing Hate Speech Detectors against Content Moderation Policies
To protect users from massive hateful content, existing works studied automated hate speech detection. Despite the existing efforts, one question remains: do automated hate speech detectors conform to social media conten…
Hate Speech DetectionHateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns
Large Language Models (LLMs) have raised increasing concerns about their misuse in generating hate speech. Among all the efforts to address this issue, hate speech detectors play a crucial role. However, the effectivenes…
Adversarial AttackBenchmarkingHate Speech DetectionTowards Legally Enforceable Hate Speech Detection for Public Forums
Hate speech causes widespread and deep-seated societal issues. Proper enforcement of hate speech laws is key for protecting groups of people against harmful and discriminatory language. However, determining what constitu…
Hate Speech DetectionAnalyzing the Real Vulnerability of Hate Speech Detection Systems against Targeted Intentional Noise
Hate speech detection systems have been shown to be vulnerable against obfuscation attacks, where a potential hater tries to circumvent detection by deliberately introducing noise in their posts. In previous work, noise …
Hate Speech DetectionHate Speech Targets Detection in Parler using BERT
Online social networks have become a fundamental component of our everyday life. Unfortunately, these platforms are also a stage for hate speech. Popular social networks have regularized rules against hate speech. Conseq…
Hate Speech Detection