Bidirectional Encoder Representations from Transformers (BERT) has gained increasing
attention from researchers and practitioners as it has proven to be an invaluable technique …

Abstract Homophobia and Transphobia Detection is the task of identifying homophobia,
transphobia, and non-anti-LGBT+ content from the given corpus. Homophobia and …

The mining of Tweets to develop datasets on recent issues, global challenges, pandemics,
virus outbreaks, emerging technologies, and trending matters has been of significant interest …

Online sexism has become an increasing concern in social media platforms as it has
affected the healthy development of the Internet and can have negative effects in society …

The goal of the PAN lab is to advance the state of the art in text forensics and stylometry
through an objective evaluation of new and established methods on new benchmark …

The use of misogynistic and sexist language has increased in recent years in social media,
and is increasing in the Arabic world in reaction to reforms attempting to remove restrictions …

Despite different countries and social platform regulations, digital abusive speech persists
as a significant challenge. One of the way to tackle abusive, or more specifically, toxic …

Social media networking is a prominent topic in real life, particularly at the current moment.
The impact of comments has been investigated in several studies. Twitter, Facebook, and …

The rapid progress in deep learning has propelled transformer-based models to the
forefront, establishing them as leading solutions for a multiple NLP tasks. These tasks span …

Online misogyny, a category of online abusive language, has serious and harmful social
consequences. Automatic detection of misogynistic language online, while imperative …