SPAMMER DETECTION AND FAKE USER IDENTIFICATION ON SOCIAL NETWORKS

Abstract

Spammers are using social networking platforms like Twitter and Facebook to spread harmful and
useless material. For instance, Twitter is now among the most costly networks and allows an overwhelming
quantity of spam. Legitimate users are negatively impacted and resource use is disrupted when fake users send
unwanted tweets to advertise products or websites. False identities are now more likely to be used to spread false
information, increasing the risk of dangerous content spreading. In today's online social networks, spotting
spammers and spotting phony users on Twitter has become a popular study topic. This study examines methods
for identifying spammers on Twitter and provides a taxonomy of such methods, categorizing them according to
how well they can identify bogus material, URL-based spam, hot topics, and fake accounts.