Cyberbullying detection through deep learning: A case study of Turkish celebrities on Twitter


Karadağ B., Akbulut A., Zaim A. H.

Web Intelligence, vol.21, no.1, pp.61-70, 2023 (ESCI) identifier

  • Publication Type: Article / Article
  • Volume: 21 Issue: 1
  • Publication Date: 2023
  • Doi Number: 10.3233/web-221805
  • Journal Name: Web Intelligence
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, Academic Search Premier, Applied Science & Technology Source, Compendex, INSPEC
  • Page Numbers: pp.61-70
  • Keywords: Cyberbullying, deep learning, long short-term memory, social media analysis, Twitter
  • Istanbul Technical University Affiliated: Yes

Abstract

One of the ways that celebs maintain their fame in the modern era is by posting updates and photos to social media platforms like Twitter, Instagram, and Facebook. Comments left on their posts, however, expose them to cyberbullying. Cyberbullying, as a form of electronic device-based harassment, negatively impacts the lives of individuals. Thirty famous people from the fields of acting, art, music, politics, sports, and writing were chosen for this research. These notable figures include the top five Twitter followers of Turkey in each demographic. Between December 2019 and December 2020, comment responses for each celebrity were collated. Using the Deep Learning model, we were able to detect abuse content with an accuracy of 89%. Additionally, the percentage of celebrities exposed to cyberbullying by group was presented.