article Open Access
Deepfakes and the threat to authentic news reporting: Detection and mitigation techniques
International Journal of Cloud Computing and Database Management · 2024 · Vol. 5(1) · pp. 09–12
Ching-Li He✉(National Central University)
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.
Digital Media Forensic DetectionMisinformation and Its ImpactsGenerative Adversarial Networks and Image SynthesisPolitical scienceComputer scienceEnvironmental scienceBusiness
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1
FWCI
0.25
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5
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48%
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