Fooled twice: People cannot detect deepfakes but think they can

Summary: Hyper-realistic manipulations of audio-visual content, i.e., deepfakes, present new challenges for establishing the veracity of online content. Research on the human impact of deepfakes remains sparse. In a pre-registered behavioral experiment (N = 210), we show that (1) people cannot relia...

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Bibliographic Details
Main Authors: Nils C. Köbis, Barbora Doležalová, Ivan Soraperra
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:iScience
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004221013353