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Found 4 papers, 1 papers with code
ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations
Detecting hate speech and offensive language is essential for maintaining a safe and respectful digital environment.
Towards Understanding Emotions for Engaged Mental Health Conversations
Providing timely support and intervention is crucial in mental health settings.
SGHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Singapore
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.
Evaluating GPT-3 Generated Explanations for Hateful Content Moderation
A key concern is that these explanations, generated by LLMs, may lead to erroneous judgments about the nature of flagged content by both users and content moderators.
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