Aggression and "hate speech" in communication of media users: analysis of control capabilities

TL;DR

This paper investigates the prevalence of aggression and hate speech in social media discussions about COVID-19, developing a mathematical model to analyze their growth and control strategies.

Contribution

It introduces a mathematical aggression growth model and examines its manageability through social media strategies, linking aggression and hate speech to message characteristics.

Findings

High levels of aggression and hate speech observed in COVID-19 discussions

Developed a mathematical model for aggression growth

Analyzed control strategies for managing aggression

Abstract

Analyzing the possibilities of mutual influence of users in new media, the researchers found a high level of aggression and hate speech when discussing an urgent social problem - measures for COVID-19 fighting. This fact determined the central aspect of the research at the next stage and the central topic of the proposed article. The first chapter of the article is devoted to the characteristics of the prerequisites of the undertaken research, its main features. The following chapters include methodological features of the study, theoretical substantiation of the concepts of aggression and hate speech, identification of systemic connections of these concepts with other characteristics of messages. The result was the creating of a mathematical aggression growth model and the analysis of its manageability using basic social media strategies. The results can be useful for developing media content in a modern digital environment.