Spammer and Fake user Detection in Twitter

Abstract

Millions of users worldwide interact with social media. Social networks such as Facebook and Twitter have a major impact on the rare and undesirable consequences of user interaction in our modern life. These famous Twitter and Facebook are used as target platforms for hackers to distribute large amounts of inappropriate and malicious information. Fake users are used to distribute and promote blogs or facilities. These blogs or facilities have a direct impact on users and conflicts in the use of assets. The increase in false files expands the scope of inaccurate information by reopening abnormal and dangerous data. In this article about Face book’s automatic spam detection tool. Twitter abuse recognition method is classified according to the remarks and messages of the function detection classification method and displayed to spam links and abuse applications