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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM43283
Volume:
9 |
3 |
Mar 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Deepfake videos are becoming more and more common on social media, endangering privacy, security, and the dissemination of accurate information. The project “Identifying Social Media Deepfake Videos Using Deep Learning Algorithms” attempts to address this issue. The system analyzes video frames using sophisticated deep learning methods, including Convolutional Neural Networks (CNNs), to identify minute alterations typical of deepfakes. The model is trained and evaluated using a carefully selected dataset of genuine and deepfake videos, guaranteeing reliable and accurate performance. To protect digital spaces and preserve the legitimacy of online information in a time of growing manipulation, this project offers a useful tool for social media companies, law enforcement, and the general public to recognize and lessen the effects of deepfakes.
KEYWORDS
Publication Date
3/29/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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