This paper proposes to generate awareness for developing Artificial intelligence (AI) ethics
by transferring knowledge from other fields of applied ethics, particularly from business …

The detection of toxic language in the Arabic language has emerged as an active area of
research in recent years, and reviewing the existing datasets employed for training the …

A news article's online audience provides useful insights about the article's identity.
However, fake news classifiers using such information risk relying on profiling. In response …

The detection of toxic language in the Arabic language has emerged as an active area of
research in recent years, and reviewing the existing datasets employed for training the …

The use of abusive language online has become an increasingly pervasive problem that
damages both individuals and society, with effects ranging from psychological harm right …

This study investigates potential selection bias in outcome prediction within the National
COVID Cohort Collaborative (N3C) resulting from arbitrarily made decisions. In the …

Nowadays, social media platforms use classification models to cope with hate speech and
abusive language. The problem of these models is their vulnerability to bias. A prevalent …

The COVID-19 pandemic has had a significant impact on human lives globally. As a result, it
is unsurprising that it has influenced hate speech and other sorts of abusive language on …

In today's digital world, social media plays a significant role in facilitating communication and
content sharing. However, the exponential rise in user-generated content has led to …

This paper addresses the interrelation between AI and language studies in the (digital)
humanities in the context of knowledge exchange economies. We propose a three …