The freedom of expression given by social media has a dark side: the growing proliferation
of abusive contents on these platforms. Misogynistic speech is a kind of abusive language …

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 …

During the last decade, hateful and sexist content towards women is being increasingly
spread on social networks. The exposure to sexist speech has serious consequences to …

Violence against women and children is a public health issue of pandemic proportions. It is
estimated that one in every three women worldwide has experienced physical, emotional, or …

Today, misogyny and xenophobia are some of the most important social problems. With the
increase in the use of social media, this feeling of hatred toward women and immigrants can …

During the last years, the phenomenon of hate against women increased exponentially
especially in online environments such as microblogs. Although this alarming phenomenon …

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 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 …

Recent moves to consider misogyny as a hate crime have refocused efforts for owners of
web properties to detect and remove misogynistic speech. This paper considers the use of …

Through anonymisation and accessibility, social media platforms have facilitated the
proliferation of hate speech, prompting increased research in developing automatic methods …