Data-driven and machine learning based approaches for detecting, categorising and
measuring abusive content such as hate speech and harassment have gained traction due …

The exponential growth of social media has brought with it an increasing propagation of
hate speech and hate based propaganda. Hate speech is commonly defined as any …

Online hate speech represents a serious problem exacerbated by the ongoing COVID-19
pandemic. Although often anchored in real-world social divisions, hate speech in …

This study analyzes the state of the art in the literature about information technology, artificial
intelligence, and blockchain in auditing. A bibliometric analysis was utilized to depict …

Hate crimes, often referred to as bias-motivated crimes, have garnered greater public
attention and concern as political rhetoric in the United States and internationally has …

Hate speech has long posed a serious problem for the integrity of digital platforms. Although
significant progress has been made in identifying hate speech in its various forms, prevailing …

Despite the substantial amount of literature concerning adolescent bystanders of online hate
and cyberbullying, relatively little attention has been devoted to studying the same issue in …

Mindset reconstruction maps how individuals structure and perceive knowledge, a map
unfolded here by investigating language and its cognitive reflection in the human mind, ie …

As the cognition of spine develops, deep learning (DL) emerges as a powerful tool with
tremendous potential for advancing research in this field. To provide a comprehensive …

This reflection article addresses a difficulty faced by scholars and practitioners working with
numbers about people, which is that those who study people want numerical data about …