Use of Machine Learning to Identify Fake Profiles

Abstract

Abstract: These days, social media plays a big role in our everyday lives. Presently, over 50% of the global population actively utilizes social media sites. The prevalence of fraudulent accounts on social platforms is a serious problem that has been brought about by their ever-growing popularity. The goal of these fictitious accounts is to mimic or deceive other people. They are now a simple means of deceiving consumers into purchasing phony goods and services. Additionally, billions of people's personal information is in jeopardy. It is now crucial to identify and disable the phony accounts before any damage is done because of these dangers. Thanks to machine learning, it's now simple to identify millions of these accounts automatically. Users fabricate profiles to disseminate false information, including hate speech, rumors, texts from bullied individuals, and more. Researchers used deep learning and machine learning models to propose some strategies to mitigate this problem, yet a large number of phony accounts remain. These phony accounts are unacceptable for a respectable social networking site, nevertheless. This article provides an overview of the latest developments in social networking fake account identification