IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

IDENTIFYING FAKE PROFILES ACROSS ONLINE SOCIAL NETWORKS BY USING NEURAL NETWORK

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K.NAGA DASARADHA , MASEERA FATHIMA , M. TAISEEN, M.SAI SRUTHI

Abstract

Worldwide, social networking services are used by millions of people. The way users interact with social media platforms like Twitter and Facebook has a significant impact on daily life, often with negative outcomes. Popular social networking sites have been used as a target by spammers to spread a lot of harmful and irrelevant content. For instance, Twitter has become one of the most widely used platforms ever, which has led to an overwhelming amount of spam. Fake users waste resources and hurt real users by sending unwanted tweets to users in order to promote businesses or websites

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