The Master’s Thesis of Researcher Sarah Amin Hayel from the Department of Information Technology

Researcher Sarah Amin Hayel was awarded the Master’s degree with Distinction with an average of 95 in the Department of (Information Technology), specializing in (Information Technology) from the Faculty of (Computer Science) at the University of Sana’a for her thesis entitled (Improving Bots Detection in Social Media Using Deep Learning: Twitter Case Study).

The discussion and examination committee consisted of (Asst. Prof. Dr. Ibrahim Ahmed Al-Balta) as the main supervisor and a member of the committee, (Asst. Prof. Dr. Naji Ali Al-Shaibani) as an internal examiner and a member of the committee, and (Prof. Dr. Bashir Mohammed Al-Maqaleh) as an external examiner and the chairman of the committee.

The thesis aimed to build a multi-relational graphical model-based approach for bot detection that can accurately distinguish between human and bot account activity to protect websites and their users from bots.

The thesis reached several results, including:
The model’s accuracy reached 90.6% and 99% on the Cresci-15 and MGTAB datasets, respectively, and significant improvements were observed in the F1-Score and Balance Accuracy measures, indicating the model’s effective performance in generating unbalanced classes and balanced predictions.
The researcher presented several recommendations, including: integrating the model with natural language processing techniques that can improve bot detection through analyzing linguistic structures and sensitivity of posts in different languages, and using image analysis techniques to identify bots by analyzing the images shared by the accounts, which can provide additional evidence for researchers.

The discussion was attended by a number of academics, researchers, students, and interested parties, as well as the researcher’s colleagues and family members