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The increasing prevalence of fake accounts on online platforms has become a significant concern, leading to misinformation, privacy violations, and security risks.This research proposes a machine learning-based approach for detecting fake accounts, examining various features such as user profile information and behavioral patterns.The model has demonstrated promising results, effectively distinguishing between legitimate and fake accounts.Implementing this solution can safeguard online communities and improve user trust and safety.
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