Deep Learning and Forensic Analysis for Detecting Fake Content

Author(s)	Dr. Kanakam Siva Rama Prasad, Ms. Tadisetti Renuka, Mr. Chintalapudi Chandra Sekhar Reddy, Mr. Daggubati Naveen, Mr. Jellipalli Sai Sudheer Kumar
Country	India
Abstract	The rapid growth of AI-based generative technologies has led to a significant increase in fake and manipulated digital content. This has created challenges such as misinformation, digital fraud, and reduced trust in online information. Traditional detection methods are not sufficient to handle this problem effectively. Therefore, this research focuses on using deep learning and forensic analysis to automatically detect and classify fake content, improving accuracy and digital trust.
Keywords	Deep Learning, Digital Forensics, Fake Content Identification, CNN (Convolutional Neural Networks), Content Authenticity Detection.
Field	Computer > Data / Information
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-03-27
DOI	https://doi.org/10.36948/ijfmr.2026.v08i02.72541

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