A master’s thesis at the College of Computer Science and Information Technology at the University of Karbala discussed detecting cyberbullying in social media networks using text mining techniques.
The study presented by student Fatima Nadi Ali Hussein aimed to identify users responsible for bullying and the content associated with them.
The Detection and Analysis study yielded valuable insights into cyberbullying detection, with particular emphasis on frequent user mentions and high centrality metrics as reliable indicators.
The study recommended the importance of using other terms related to the “X” platform, such as retweets, sentiment analysis, and responses.
