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 …

SardiStance is the first shared task for Italian on the automatic classification of stance in
tweets. It is articulated in two different settings: A) Textual Stance Detection, exploiting only …

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 …

EVALITA provides a shared framework for evaluating and comparing different Nautural
Language Processing (NLP) and speech systems across various tasks suggested and …

The growth of social media worldwide has brought social benefits and challenges. One
problem we highlight is the proliferation of hate speech on social media. We propose a …

This paper describes the first edition of the “Diachronic Lexical Semantics”(DIACR-Ita) task
at the EVALITA 2020 campaign. The task challenges participants to develop systems that …

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 …

DANKMEMES is a shared task proposed for the 2020 EVALITA campaign, focusing on the
automatic classification of Internet memes. Providing a corpus of 2.361 memes on the 2019 …

Misogyny is a serious social problem that affects the mental and physical health of women
and can even lead to femicide. This problem is visible and prevalent in different …

This report was written to describe the systems that were submitted by the team “TheNorth”
for the HaSpeeDe 2 shared task organised within EVALITA 2020. To address the main task …