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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
ZHANG Shen-hui, WANG Qiong
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DOI:10.17265/2159-5836/2023.08.006
Nanjing Xiaozhuang University, Nanjing, China
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.
cyberbullying language, critical discourse analysis, text-mining technology, non-traditional texts
Journal of Literature and Art Studies, August 2023, Vol. 13, No. 8, 593-599
Anggraini, I. et al. (2018). Cyberbullying detection modelling at twitter social networking. JUITA: Jurnal Informatika, 6(2), 113-118.
Balakrishnan, V. (2018). Self-esteem, empathy and their impacts on cyberbullying among young adults. Telematics and Informatics, 35(07), 2028-2037.
Belsey B. (2005). Cyberbullying: An emerging threat to the “always on” generation. Recuperado el, (5), 2010.
Fairclough, N. (1989). Language and power. New York: Pearson Education.
Kliem, S. et al. (2020). General and specific trends in cyberbullying: results of representative surveys among pupils in lower saxony. Kheit Und Entwicklung, 29(2), 67-74.
Li, W. Q. (2020). The language of bullying: Social issues on Chinese websites, Aggression and Violent Behavior, 53(101453), 1359-1789.
Mautner, G. (1995). Only connect critical discourse analysis and corpus linguistics. Lancastr: UCRL.
Orpin, D. (2005). Corpus linguistics and critical discourse analysis: Examining the ideology of sleaze. International Journal of Corpus Linguistics, (1), 37-61.
Patchin, J. W. & Hinduja, S. (2006). Bullies move beyond the schoolyard: A preliminary look at cyberbullying. Youth violence and juvenile justice, (2), 148-169.
Stubbs, M . (1996). Text and corpus analysis: Computer-assisted studies of language and culture. Oxford: Blackwell Publisher.
VanDijk, T. A. (1998). Ideology: A multidisciplinary approach. Ideology, (2), 1-384.
Yuan, P. P., & Liu, W. W. (2023). The study of cyber-bullying from the perspective of critical discourse analysis: A case study of Tik Tok comment area language. Journal of Literature and Art Studies, 13(2), 82-88.