Fake Profile Detection of Social Networking Websites using ML

Author(s)	Ms. P. Manisree, Y.Lakhmi prasanna, B. Meghamala, D. Jayachandra, M. Jeevitha
Country	India
Abstract	Nowadays, online interpersonal agencies (OSNs) are getting more and more famous, influencing social lifestyles and inspiring people to be individuals of various social networking sites. The major steps that character agencies initiate are multi-sport sports including promotion, correspondence, plan making, advertising and message creation. Adding new buddies and keeping in touch with them and their updates are properly achieved. These online social networks have grow to be a research issue to observe their effect at the populace. Some bad money is used for purposes inclusive of lies and manipulation. It is good to come across malicious money owed. AI-based totally strategies have been used to hit upon faux bills that misinform people. Through this, the dataset has been preprocessed. Various Python libraries and validation fashions had been attempted to acquire an estimate of the functions on hand for this dataset. Efforts to stumble on faux online entertainment posts the use of tremendous AI calculations are nonetheless ongoing. The general overall performance of the Random Forest, Neural Community, and Pseudo-Count algorithms may be determined using a Support Vector Machine.
Keywords	Machine Learning, Random Forest, Support Vector Machine, Fake Account, Social Media.
Field	Engineering
Published In	Volume 7, Issue 4, April 2026
Published On	2026-04-04

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