Humans Versus Machines: A Deepfake Detection Faceoff

ABSTRACT Machine learning (ML) models for deepfake detection are important for countering the threat of such videos. However, human detection is also critical because automated approaches may not always be available to people online. This study compares ML models versus humans for deepfake detection...

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Veröffentlicht in:	Proceedings of the ASIST Annual Meeting 2024-10, Vol.61 (1), p.917-919
Hauptverfasser:	Goh, Dion Hoe‐Lian, Pan, Jonathan, Lee, Chei Sian
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Deception Deepfake detection Human detection Machine learning Machine learning models
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Beschreibung
Zusammenfassung:	ABSTRACT Machine learning (ML) models for deepfake detection are important for countering the threat of such videos. However, human detection is also critical because automated approaches may not always be available to people online. This study compares ML models versus humans for deepfake detection. Results surprisingly showed that humans performed better. Implications of our work are discussed.
ISSN:	2373-9231 2373-9231 1550-8390
DOI:	10.1002/pra2.1139