Advanced Techniques for the Detection and Mitigation of Deepfake Visual Content and FakeNews in Online Media

Sowmya Natarajan, Uday Chauhan, Kashish

2025

Abstract

The rise of misinformation, particularly through fake news and deepfakes, has emerged as a critical issue worldwide, largely driven by the pervasive use of social media and advances in generative deep learning technologies. This paper offers a thorough analysis of various machine learning and deep learning methodologies aimed at detecting and addressing these deceptive practices. We assess the effectiveness of traditional machine learning classifiers, such as K-Nearest Neighbours, Support Vector Machines, Decision Trees, Naïve Bayes, and Logistic Regression, using a dataset comprised of fake news articles. Furthermore, we investigate the use of deep learning techniques for identifying deepfake media. Our results indicate that both machine learning and deep learning strategies can successfully recognize fake news and deepfakes, though their accuracy varies based on the specific methods utilized. By integrating these approaches and tackling challenges related to imbalanced datasets and the evolving complexity of deepfake creation, we aspire to enhance the development of effective solutions to combat misinformation in today’s digital landscape.

Paper Citation

in Harvard Style

Natarajan S., Chauhan U. and Kashish. (2025). Advanced Techniques for the Detection and Mitigation of Deepfake Visual Content and FakeNews in Online Media. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 789-794. DOI: 10.5220/0013664800004664

in Bibtex Style

@conference{incoft25,
author={Sowmya Natarajan and Uday Chauhan and Kashish},
title={Advanced Techniques for the Detection and Mitigation of Deepfake Visual Content and FakeNews in Online Media},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT},
year={2025},
pages={789-794},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013664800004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT
TI - Advanced Techniques for the Detection and Mitigation of Deepfake Visual Content and FakeNews in Online Media
SN - 978-989-758-763-4
AU - Natarajan S.
AU - Chauhan U.
AU - Kashish.
PY - 2025
SP - 789
EP - 794
DO - 10.5220/0013664800004664
PB - SciTePress