hate speech

Language models have revolutionized the field of NLP. However, language models capture and proliferate hurtful stereotypes, especially in text generation. Our results show that **4.3% of the time, language models complete a sentence with a hurtful …

**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 subtasks: (1) Subtask A about misogyny and aggressiveness …

**Hate speech** may take different forms in online social environments. In this paper, we address the problem of automatic detection of misogynous language on **Italian tweets** by focusing both on raw text and stylometric profiles. The proposed …

How fair Machine Learning models could solve Hate Speech and Misogyny Detection?

During the last years, the phenomenon of **hate against women** increased exponentially especially in online environments such as microblogs. Although this alarming phenomenon has triggered many studies both from computational linguistic and machine …

The paper describes the organization of the SemEval 2019 Task 5 about the detection of **hate speech against immigrants and women** in **Spanish and English** messages extracted from Twitter. The task is organized in two related classification …

**Automatic Misogyny Identification** (AMI) is a new **shared task** proposed for the first time at the Evalita 2018 evaluation campaign. The AMI challenge, based on both **Italian and English** tweets, is distinguished into two subtasks, i.e. …