Hate speech detection has substantially increased interest among researchers in the
domain of natural language processing (NLP) and text mining. The number of studies on this …

The paper describes the SemEval-2022 Task 5: Multimedia Automatic Misogyny
Identification (MAMI), which explores the detection of misogynous memes on the web by …

We present a human-and-model-in-the-loop process for dynamically generating datasets
and training better performing and more robust hate detection models. We provide a new …

Internet and social media participation open doors to a plethora of positive opportunities for
the general public. However, in addition to these positive aspects, digital technology also …

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 …

Empirical evidences linking users' psychological features such as personality traits and
cybercrimes such as cyberbullying are many. This study deals with automatic cyberbullying …

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 …

The'manosphere'has been a recent subject of feminist scholarship on the web. Serious
accusations have been levied against it for its role in encouraging misogyny and violent …

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 …

Abstract 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 …