The aim of this paper is to review machine learning (ML) algorithms and techniques for hate
speech detection in social media (SM). Hate speech problem is normally model as a text …

Social media platforms have been adopted rapidly into our current culture and affect nearly
all areas of our everyday lives. Their prevalence has raised questions about the influence of …

According to moral foundations theory, there are five distinct sources of moral intuition on
which political liberals and conservatives differ. The present research program seeks to …

Hate speech in social media is an increasing problem that can negatively affect individuals
and society as a whole. Moderators on social media platforms need to be technologically …

Taking advantage of 3 million English-language posts by Facebook public pages, this study
answers the following questions: How did the amount of COVID-19 vaccine-related …

In an effort to counter hate speech, media platforms have increasingly come to rely on
ordinary users to fight abusive content. However, little is known about the predictors of this …

Most adolescents and young adults frequently encounter hate speech online. Although
online bystander intervention is essential to combating such hate, young bystanders may …

User intervention against incivility is a significant element of democratic norm enforcement
on social media, and feeling personally responsible for acting is a vital prerequisite for …

In modern media, the names of fairy-tale and mythological images are used to convey
certain emotions and connotations. The aim of the study is to analyze the characteristic …

In the everyday practice of online communication, we observe users deliberately reporting
abusive content or opposing hate speech through counterspeech, while at the same time …