In this paper we present our approach to automatically identify misogyny in Twitter tweets.
That task is one of the two sub-tasks organized by AMI-IberEval 2018 organization. In order …

This article presents a survey of automated misogyny identification techniques in social
media, especially in Twitter. This problem is urgent because of the high speed at which …

We present our systems for misogyny identification on Twitter, for Italian and English. The
models are based on a Support Vector Machine and they use n-grams as features. Our …

In this paper we describe the submission for the Automatic Misogyny Identification in
Spanish and English Tweets shared task organized at IberEval1. This work proposes an …

Creating effective mechanisms to detect misogyny online automatically represents
significant scientific and technological challenges. The complexity of recognizing misogyny …

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 …

Online social networks allow powerless people to gain enormous amounts of control over
particular people's lives and profit from the anonymity or social distance that the Internet …

Violence against women is a major social issue. One in every three women worldwide has
been subjected to physical or sexual violence. The pervasive violence against women in the …

We describe our participation to the Automatic Misogyny Identification (AMI) shared task at
IberEval 2018. The task focused on the detection of misogyny in English and Spanish tweets …

Automatic Misogyny Identification (AMI) is a new shared task proposed for the first time at the
IberEval 2018 evaluation campaign. The AMI task proposes misogyny identification …