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 …

Cyberbullying is a growing problem across social media platforms, inflicting short and long-
lasting effects on victims. To mitigate this problem, research has looked into building …

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 …

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 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 …

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 …

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 …

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 …

Although there is an unprecedented effort to provide adequate responses in terms of laws
and policies to hate content on social media platforms, dealing with hatred online is still a …