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Deepfakes and the threat to authentic news reporting: Detection and mitigation techniques

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.

Citations
1
FWCI
0.25
field-weighted impact
References
5
Percentile
48%
vs. same field & year
Citation Network

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