What is it about?
In the study, cyberbullying is detected from Twitter data through deep learning. 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.
Featured Image
Photo by Alexander Shatov on Unsplash
Why is it important?
Turkish sources are very limited. It is important that it is a study conducted with nearly 3 million tweets in Turkish. In addition, we observed that the most followed celebrities on Twitter are exposed to cyberbullying. Such a study on Turkish Celebrities has not been realized before.
Perspectives
This is an amazing journey for me. I would like to thank Prof. Dr. Abdül Halim Zaim and Doç. Dr. Akhan Akbulut for their advice and valuable support.
Bulut Karadag
Istanbul Ticaret Universitesi
Read the Original
This page is a summary of: Cyberbullying detection through deep learning: A case study of Turkish celebrities on Twitter, Web Intelligence, April 2023, IOS Press,
DOI: 10.3233/web-221805.
You can read the full text:
Contributors
The following have contributed to this page
