Fake Social Media Profile Detection: A Hybrid Approach Integrating Machine Learning and Deep Learning Techniques
Authors:-Anila S, Meenakshi Mohan, Mariya Jacob, Najiya Nasrin
Abstract-In the contemporary era of rapid information dissemination through social platforms, the proliferation of fake content undermines the trust and integrity of online communities. Existing detection algorithms exhibit limitations in terms of accuracy and adaptability, necessitating the creation of an innovative hybrid model. Our goal is to integrate the strengths of traditional machine learning approaches, such as k- Nearest Neighbors or Support Vector Machines, with the power of deep learning methods. By combining these techniques, we aim to enhance the accuracy and efficiency of fake profile detection beyond current state-of-the-art methods, providing a robust and effective solution for distinguishing between genuine and deceptive profiles in the dynamic landscape of social media.
