The struggle of social media platforms to moderate content in a timely manner, encourages
users to abuse such platforms to spread vulgar or abusive language, which, when …

Social media is a more common and powerful platform for communication to share views
about any topic or article, which consequently leads to unstructured toxic, and hateful …

Online debates are often characterised by extreme polarisation and heated discussions
among users. The presence of hate speech online is becoming increasingly problematic …

Deplatforming, or banning malicious accounts from social media, is a key tool for moderating
online harms. However, the consequences of deplatforming for the wider social media …

Graph convolutional learning has led to many exciting discoveries in diverse areas.
However, in some applications, traditional graphs are insufficient to capture the structure …

Bow-tie structures were introduced to describe the World Wide Web (WWW): in the direct
network in which the nodes are the websites and the edges are the hyperlinks connecting …

Hate speech on social media threatens the mental and physical well-being of individuals
and is further responsible for real-world violence. An important driver behind the spread of …

Hate speech annotation for training machine learning models is an inherently ambiguous
and subjective task. In this paper, we adopt a perspectivist approach to data annotation …

The quality of annotations in manually annotated hate speech datasets is crucial for
automatic hate speech detection. This contribution focuses on the positive effects of …

Purpose The study aimed to examine how different communities concerned with dementia
engage and interact on Twitter. Design/methodology/approach A dataset was sampled from …