
Disambiguating the meaning of pejorative words can help improve the detection of misogynistic language in Italian tweets.


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disambiguating-pejorative-epithets-to-improve-misogyny-detection-in-italian-tweets


Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets


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Large language models offer significant advantages over state-of-the-art models for hate speech detection, even without fine-tuning. Fine-tuning can further improve performance, but the effects depend on the specific model and dataset characteristics.


benchmarking-large-language-models-for-cross-domain-hate-speech-detection


Benchmarking Large Language Models for Cross-Domain Hate Speech Detection



Adversarial datasets, collected by exploiting model weaknesses, can improve the robustness of hate speech detection models.


improving-hate-speech-detection-by-leveraging-adversarial-data-collection-strategies


Improving Hate Speech Detection by Leveraging Adversarial Data Collection Strategies
