Real-time detection of fake account in twitter using machine-learning approach

Abstract

In day-to-day life for sharing of information and communication among others, online social networking has emerged as one of the eminent ways. Online social networking offers attractive means of social interaction and communication but it raises various concerns like privacy and security of user and its account. During the events, people share unreliable information and misleading content through social media platform such as Twitter and Facebook. Our objective is to detect the fake account by analyzing different characteristics that spread malicious contents in real-time environment. Fake profiles are the identity theft of genuine user’s profile content and create a similar profile using users credential. At later stage, the profile is perverted for aspersing the legitimate profile owner as well as sending friend request to the user’s friend. In this article, we discuss about our chrome extension-based framework that detects the fake accounts in Twitter environment by analyzing the different characteristics.