Detecting spammer and fake user on social networks using machine learning approach
T. Sudalaimuthu, C. Dheeraj Kumar Reddy, B. Sairam Reddy, M. Sahithya, S Visalaxi · AIP conference proceedings · 2022
The fake users play a significant role in social media. The Spammer’s messages are similar to non-spam messages. There are several waysto distinguish fake and genuine online media users. However, detecting malicious messages are still a challenging problem. The proposed method is a machine learning based approach to distinguish fake users that could delude individuals. The dataset has been collected and preprocessed. The preprocessing is carried out by the python libraries. The examination model is obtainedfrom the preprocessing. The distinguish matrix is designed by using the examination model. The machine learning is employed in the process. The machine learning algorithm includes Random Forest, Neural Network and Support Vector Machines are utilized for the identification of fakeusers. The results are recorded and analyzed. The presented method is yielded 87.34% accuracy in detecting the fake users for the defined environment.