An Artificial Intelligence-based Fake user Detection in Social media

Abstract

Identifying spammers has become one of the most difficult problems facing Osn. Detecting fake accounts is critical to maintaining security and privacy. Spammers have a variety of goals, including fake news, spreading invalid information, hoaxes, and breaking news stories. Activities interfere with authenticate users and damage reputation of the Open Storage Network platform. Therefore, it is crucial to provide a spammer detection system so that corrective action can be performed to stop the unwanted activities of the spammers. Detecting spam tweets and fake user accounts for the online social network Twitter develop descriptive concept. Twitter recordings and four distinct methods—false user identification, spam Url detection, fake content, and spam trending topics—are used in the detection. You can determine whether a Tweet is authentic or spam using the four methods mentioned above.