A Strategy Labelled Dataset of Counterspeech
Aashima Poudhar, Ioannis Konstas, Gavin Abercrombie · 2024
Increasing hateful conduct online demands effective counterspeech strategies to mitigate its impact.We introduce a novel dataset annotated with such strategies, aimed at facilitating the generation of targeted responses to hateful language.We labelled 1000 hate speech/counterspeech pairs from an existing dataset with strategies established in the social sciences.We find that a one-shot prompted classification model achieves promising accuracy in classifying the strategies according to the manual labels, demonstrating the potential of generative Large Language Models (LLMs) to distinguish between counterspeech strategies.