Social Media has become a vital component of every individual's life in society opening a
preferred spectrum of virtual communication which provides an individual with a freedom to …

Cyber-aggression, cyberbullying, and cyber-grooming are distinctive and similar
phenomena that represent the objectionable content appearing on online social media …

We present a novel task and dataset for evaluating the ability of vision and language models
to conduct visio-linguistic compositional reasoning, which we call Winoground. Given two …

This work proposes a new challenge set for multimodal classification, focusing on detecting
hate speech in multimodal memes. It is constructed such that unimodal models struggle and …

In recent years, the increasing propagation of hate speech on social media and the urgent
need for effective counter-measures have drawn significant investment from governments …

This paper presents a survey on hate speech detection. Given the steadily growing body of
social media content, the amount of online hate speech is also increasing. Due to the …

In this work we target the problem of hate speech detection in multimodal publications
formed by a text and an image. We gather and annotate a large scale dataset from Twitter …

In recent years, the increasing propagation of hate speech on social media and the urgent
need for effective counter-measures have drawn significant investment from governments …

We discuss the impact of data bias on abusive language detection. We show that
classification scores on popular datasets reported in previous work are much lower under …

Toxic comment classification has become an active research field with many recently
proposed approaches. However, while these approaches address some of the task's …