Social Media Fake Account Identification Using Machine Learning

Abstract

The proliferation of social media platforms has led to an increase in the creation of fake accounts. These accounts are used for various malicious activities, such as spreading false information, phishing, and identity theft. As a result, there is a growing need for effective methods to identify and eliminate fake accounts. This paper proposes a machine learning-based approach for social media fake account identification. The proposed method involves pre-processing the data, feature extraction, and training a classifier using various machine learning algorithms. The performance of the proposed method is evaluated using a publicly available dataset and compared with existing methods. The results demonstrate the effectiveness of the proposed approach in identifying fake accounts with high accuracy and low false positive rates.