P-ISSN: 2707-5907, E-ISSN: 2707-5915
Printed Journal | Refereed Journal | Peer Reviewed Journal
2024, Vol. 5, Issue 1, Part A
Deepfakes and the threat to authentic news reporting: Detection and mitigation techniques
Author(s): Ching-Li He
Abstract: Deepfakes represent a significant and growing threat to authentic news reporting. Leveraging advanced artificial intelligence and machine learning techniques, deepfakes can create highly realistic but fabricated images, videos, and audio recordings. This review article explores the impact of deepfakes on news integrity, examines current detection methods, and discusses mitigation strategies to protect the authenticity of news reporting.
DOI: 10.33545/27075907.2024.v5.i1a.54
Pages: 09-12 | Views: 85 | Downloads: 43
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How to cite this article:
Ching-Li He. Deepfakes and the threat to authentic news reporting: Detection and mitigation techniques. Int J Cloud Comput Database Manage 2024;5(1):09-12. DOI: 10.33545/27075907.2024.v5.i1a.54
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