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• W3208526032 abstract "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 reliably detect deepfakes and (2) neither raising awareness nor introducing financial incentives improves their detection accuracy. Zeroing in on the underlying cognitive processes, we find that (3) people are biased toward mistaking deepfakes as authentic videos (rather than vice versa) and (4) they overestimate their own detection abilities. Together, these results suggest that people adopt a seeing-is-believing heuristic for deepfake detection while being overconfident in their (low) detection abilities. The combination renders people particularly susceptible to be influenced by deepfake content." @default.
• W3208526032 created "2021-11-08" @default.
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• W3208526032 date "2021-11-01" @default.
• W3208526032 modified "2023-10-17" @default.
• W3208526032 title "Fooled twice: People cannot detect deepfakes but think they can" @default.
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• W3208526032 doi "https://doi.org/10.1016/j.isci.2021.103364" @default.
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