Identification of Fake Profiles in Social Media Using Advanced Machine Learning Techniques

Abstract

For different purposes, fake profiles are created by individuals or groups via social networks. The tests identify the account by using innovative and qualified features such as support vector machine and the random forest. Their findings are false or real. Prognoses indicate that 93 percent accuracy is obtained by proposed work. The main issue for most Facebook accounts is that someone might have fake profiles or accounts in online social networks.