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...
Guardado en:
Autores principales: | Nils C. Köbis, Barbora Doležalová, Ivan Soraperra |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/92ef429a157a43d99c880545b95ab391 |
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