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@article{201258,
        author = {Ruchi J. Dalsaniya and Ankit Kalariya},
        title = {A Comprehensive Review of Fake Profile Detection Techniques Using Machine Learning & Deep Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {2920-2925},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201258},
        abstract = {The development of social media websites has led to the creation of many fake profiles for different uses such as spreading spam emails, deceiving users, misinformation, and many others. Furthermore, developments in the field of artificial intelligence have enabled the creation of realistic images by use of GANs. This paper provides an analysis on the existing methods of detecting fake profiles with machine learning, deep learning, and image forensics techniques. In addition to this, the existing literature will be compared based on their efficiency and drawbacks. It needs to be mentioned that deep learning has high accuracy than machine learning, but on the other hand, it is highly complex. On the contrary, machine learning has low accuracy but less complexity.},
        keywords = {Fake Profile Detection, Machine Learning, Deep Learning, GAN, Social Media, Image Forensics},
        month = {May},
        }