Counter Narrative Generation

Counter narrative generation (CN) focuses on automatically creating textual responses that refute hate speech and harmful narratives online. Current research emphasizes improving the quality and effectiveness of generated counter-narratives, exploring various large language models (LLMs) and incorporating techniques like retrieval augmentation and attention regularization to enhance their performance and generalization capabilities across different languages and hate speech targets. This field is crucial for mitigating the spread of online hate, with ongoing efforts concentrating on developing robust evaluation methods that align with human judgment and creating more diverse and contextually appropriate counter-narratives. The ultimate goal is to leverage AI to create effective tools for combating online hate speech.