• MRS.V.LATHA SIVASANKARI
• S.Vinith
• H.Mohamed Jaseem
• K Yogameen
• E.Sri Vaishnavi

The prevalence of fake accounts in social networks poses significant challenges to user trust, information integrity, and platform security. This paper explores the current state of research on fake account prediction, examining various techniques employed to identify and mitigate this issue. We discuss the detrimental impact of fake accounts, analyze the diverse approaches for their prediction, and highlight the ongoing challenges and future directions in this critical field.

Fake accounts, Social network analysis, Machine learning, Natural Language Processing

"FAKE ACCOUNT PREDICTION IN SOCIAL NETWORKS USING MACHINE LEARNING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.c188-c192, April-2024, Available :http://www.jetir.org/papers/JETIR2404225.pdf

"FAKE ACCOUNT PREDICTION IN SOCIAL NETWORKS USING MACHINE LEARNING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppc188-c192, April-2024, Available at : http://www.jetir.org/papers/JETIR2404225.pdf