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@article{186782,
        author = {sakthi rakesh g and santhosh v and siva prakasam and prema},
        title = {identification of fake followers and spambots},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {1759-1768},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186782},
        abstract = {The large-scale creation of falsified and spambot accounts on social media over the last few years has resulted in a complicated environment for authenticity, trust, and transparency to be upheld. This research proposes a new framework of artificial intelligence that is not only interpretable but also designed to capture the presence of abnormal account patterns and analyze them via a variety of explainable machine learning models.},
        keywords = {Artificial Intelligence, Spambots Detection, Explainable AI, SHAP, Decision Tree, Random Forest, FastAPI, SQL database, Behavioral Analytics, Social Media Analytics.},
        month = {November},
        }