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@article{193658,
        author = {Aswin S and Sanjeev M S and Ajanesh R and Ms. M.Varsha},
        title = {PREDICTION OF FAKE INSTAGRAM PROFILE USING MACHINE LEARNING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {1102-1104},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193658},
        abstract = {Fake profiles on social media platforms like Instagram are increasingly used for spam, scams, and misinformation. This paper proposes a machine learning-based system to automatically identify fake Instagram accounts using profile-level features such as follower count, engagement ratio, account age, and posting behavior. Multiple classification algorithms including Random Forest, Logistic Regression, and Support Vector Machine are evaluated to determine the most accurate model. The proposed system aims to assist platforms and users in detecting suspicious accounts efficiently and improving online trust and safety.},
        keywords = {},
        month = {March},
        }