Ontology-Enhanced Fake Social Media Account Detection
Supervisor Name
Amjad Hawash
Supervisor Email
amjad@najah.edu
University
An-Najah National University
Research field
Computer Science
Bio
Amjad Hawash (Associate Professor) holds a Ph.D. from Sapienza University of Rome, Italy, and degrees from An-Najah National University, Palestine, and Yarmouk University, Jordan. His research spans annotation systems, Arabic ontologies, graph analysis, and reversible circuits synthesis, with multiple publications in these areas.
Description
The distribution of false information, phishing attacks, and public opinion manipulation are just a few of the major issues brought on by the development of phoney accounts on social media sites. Conventional detection techniques, which sometimes rely only on statistical or machine learning characteristics, may find it difficult to adapt to changing deceptive behaviours or generalise across platforms. This research combines machine learning, semantic reasoning, and domain expertise to create an ontology-enhanced framework for identifying phoney social media accounts. The method makes use of a specially created ontology that simulates account behaviours, engagement trends, profile characteristics, and content traits commonly linked to phoney or automated accounts.
