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Yi-Ling Chung

3 accepted papers

2024

Basque and Spanish Counter Narrative Generation: Data Creation and Evaluation

COLING 2024main

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 increase in HS content posted online, research on automatic CN generation has been relatively scarce and predominantly focuse…

Cited by 8SourcePDFScholar
2024

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

NAACL 2024findings

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…

Cited by 18SourcePDFScholar
2024

On the Effectiveness of Adversarial Robustness for Abuse Mitigation with Counterspeech

NAACL 2024long

Recent work on automated approaches to counterspeech have mostly focused on synthetic data but seldom look into how the public deals with abuse. While these systems identifying and generating counterspeech have the potential for abuse mitigation, it remains unclear how robust a model is against adve…

Cited by 0SourcePDFScholar