A Critical Discourse Analysis of Cyberbullying Language Based on Text-mining Techniques—A Case Study of Prince Harry and Meghan Markle

Abstract

With the development of AI, a large amount of cyberbullying language flooded into the Internet. Cyberbullying language damages the online environment and causes mental harm to the victims of online bullying. Many researchers, therefore, have paid much attention to the problem. This study collected online comments targeted at Prince Harry and Meghan Markle as a corpus and then analyzed text data based on Critical Discourse Analysis by using text-mining tools to explore the factors that contribute to the social ideological effects of the cyberbullying language. The research results show that cultural differences, prejudice, or social exclusion due to race or gender form cyberbullying on social media.