SGHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Singapore
This work addresses the need for effective hate speech detection tools in diverse linguistic environments, particularly for Singapore and Southeast Asia, but it is incremental as it extends existing functional testing approaches.
The paper tackled the problem of hate speech detection in low-resource languages by introducing SGHateCheck, a framework for Singapore and Southeast Asia, which revealed critical flaws in state-of-the-art models, showing their inadequacy in sensitive content moderation.
To address the limitations of current hate speech detection models, we introduce \textsf{SGHateCheck}, a novel framework designed for the linguistic and cultural context of Singapore and Southeast Asia. It extends the functional testing approach of HateCheck and MHC, employing large language models for translation and paraphrasing into Singapore's main languages, and refining these with native annotators. \textsf{SGHateCheck} reveals critical flaws in state-of-the-art models, highlighting their inadequacy in sensitive content moderation. This work aims to foster the development of more effective hate speech detection tools for diverse linguistic environments, particularly for Singapore and Southeast Asia contexts.