Abstract The Hate Speech Detection (HaSpeeDe 2) task is the second edition of a shared
task on the detection of hateful content in Italian Twitter messages. HaSpeeDe 2 is …

In recent years, large language models (eg, Open AI's GPT-4, Meta's LLaMa, Google's
PaLM) have become the dominant approach for building AI systems to analyze and …

Natural Language Processing (NLP) models risk overfitting to specific terms in the training
data, thereby reducing their performance, fairness, and generalizability. Eg, neural hate …

Automatic Misogyny Identification (AMI) is a shared task proposed at the Evalita 2020
evaluation campaign. The AMI challenge, based on Italian tweets, is organized into two …

Warning: This paper contains examples of language that some people may find offensive.
Transformer-based Natural Language Processing models have become the standard for …

We study the task of labeling covert or veiled toxicity in online conversations. Prior research
has highlighted the difficulty in creating language models that recognize nuanced toxicity …

Online hate speech is a dangerous phenomenon that can (and should) be promptly
counteracted properly. While Natural Language Processing supplies appropriate algorithms …

We target the complementary binary tasks of identifying whether a tweet is misogynous and,
if that is the case, whether it is also aggressive. We compare two ways to address these …

Warning: This paper contains examples of language that some people may find offensive or
upsetting. In this paper, we describe the system proposed by the MilaNLP team for the …

The important growth of social media and online gaming sites in recent years have
increased the challenge of online moderation to keep the internet safe and without toxic …