20 citations · 27 across the 8 of their papers we have counts for
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cs.CL2024★ 3 cited
Towards Efficient and Explainable Hate Speech Detection via Model Distillation
Paloma Piot, Javier Parapar
Automatic detection of hate and abusive language is essential to combat its online spread. Moreover, recognising and explaining hate speech serves to educate people about its negat…
cs.CL2024★ 4 cited
Decoding Hate: Exploring Language Models' Reactions to Hate Speech
Paloma Piot, Javier Parapar
Hate speech is a harmful form of online expression, often manifesting as derogatory posts. It is a significant risk in digital environments. With the rise of Large Language Models…
cs.CL2024★ 20 cited
MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection
Paloma Piot, Patricia Martín-Rodilla, Javier Parapar
Hate speech represents a pervasive and detrimental form of online discourse, often manifested through an array of slurs, from hateful tweets to defamatory posts. As such speech pro…