Detection of Fake Twitter Profiles using SVM, Random Forest and Neural Network Models

Abstract

Online social networks are one of the most important parts of our lives. Today, online social media has changed the way we communicate. People are more likely to use social media to keep in touch with family, friends, and college. Social media creates a perfect environment for hackers. They use fake accounts on social media platforms such as Facebook, Twitter, Instagram to access personal data. The purpose of our research is to create a model that will detect whether an account is fake or not, thus protecting people from fake accounts and providing them with privacy. This is done taking into account some algorithms such as SVM, Random Forest Algorithm and neural network models.