Aashima Poudhar


2024

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A Strategy Labelled Dataset of Counterspeech
Aashima Poudhar | Ioannis Konstas | Gavin Abercrombie
Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 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.