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NLP for Counterspeech against Hate: A Survey and How-To Guide
April 1, 2024, 4:47 a.m. | Helena Bonaldi, Yi-Ling Chung, Gavin Abercrombie, Marco Guerini
cs.CL updates on arXiv.org arxiv.org
Abstract: In recent years, counterspeech has emerged as one of the most promising strategies to fight online hate. These non-escalatory responses tackle online abuse while preserving the freedom of speech of the users, and can have a tangible impact in reducing online and offline violence. Recently, there has been growing interest from the Natural Language Processing (NLP) community in addressing the challenges of analysing, collecting, classifying, and automatically generating counterspeech, to reduce the huge burden of …
abstract abuse arxiv cs.cl fight freedom guide how-to impact nlp offline online abuse responses speech strategies survey type violence
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