Fooled twice: People cannot detect deepfakes but think they can

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 detec...

Descripción completa

Detalles Bibliográficos
Autores principales: Köbis, Nils C., Doležalová, Barbora, Soraperra, Ivan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8602050/
https://www.ncbi.nlm.nih.gov/pubmed/34820608
http://dx.doi.org/10.1016/j.isci.2021.103364

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8602050/
https://www.ncbi.nlm.nih.gov/pubmed/34820608
http://dx.doi.org/10.1016/j.isci.2021.103364

Ejemplares similares