Recent studies have alarmed that many online hate speeches are implicit. With its subtle nature, the explainability of the detection of such hateful speech has been a challenging problem. In this work, we examine whether ChatGPT can be used for providing natural language explanations (NLEs) for implicit hateful speech detection. We design our prompt to elicit concise ChatGPT-generated NLEs and conduct user studies to evaluate their qualities by comparison with human-generated NLEs. We discuss the potential and limitations of ChatGPT in the context of implicit hateful speech research.

翻译：近期研究警示，大量网络仇恨言论以隐式形式存在。由于其隐晦特性，对此类仇恨言论检测的可解释性始终是极具挑战的难题。本研究探讨了ChatGPT能否为隐式仇恨言论检测提供自然语言解释（NLEs）。我们设计了专门提示以生成简洁的ChatGPT式自然语言解释，并通过用户研究将其与人工生成的解释进行质量对比评估。最后，我们论述了ChatGPT在隐式仇恨言论研究中的潜力与局限。