Methods for Detecting Fake Accounts on the Social Network VK

摘要

This article addresses the issue of detecting fake user accounts on social networks. The purpose of the study is to find and analyse the distinctive features of fake accounts in comparison with the accounts of real users using the example of the social network VK. The introduction looks at various studies on this topic, including the possibility of identifying fake accounts on other social networks. The experimental part describes the process of collecting information about the accounts of fake users from the social network VK, highlighting features, compiling a dataset for training the classifier. The results show the results of the accuracy of detecting fake accounts and a comparison of the results of various classification methods. In the conclusion, conclusions are presented about the effectiveness of the proposed approach and possibilities.