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 …

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 …

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 …

Aiming to enhance the safety of their users, social media platforms enforce terms of service
by performing active moderation, including removing content or suspending users …

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

Nowadays, cyber hate speech is increasingly growing, which forms a serious problem
worldwide by threatening the cohesion of civil societies. Hate speech relates to using …

YouTube is a video-sharing and social media platform where users create profiles and
share videos for their followers to view, like, and comment on. Abusive comments on videos …

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

Infodemiology is the process of mining unstructured and textual data so as to provide public
health officials and policymakers with valuable information regarding public health. The …

In this paper, we investigate the ability of CNN, CNN-LSTM, and BiLSTM-CNN deep
learning networks to automatically classify or discover hateful content posted on social …