most citedLarge language models can consistently generate high-quality content for election disinformation operations

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cs.CL2024

NLP for Counterspeech against Hate: A Survey and How-To Guide

Helena Bonaldi, Yi-Ling Chung, Gavin Abercrombie +1

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 fre…

cs.CL2024

Basque and Spanish Counter Narrative Generation: Data Creation and Evaluation

Jaione Bengoetxea, Yi-Ling Chung, Marco Guerini +1

Counter Narratives (CNs) are non-negative textual responses to Hate Speech (HS) aiming at defusing online hatred and mitigating its spreading across media. Despite the recent incre…