Generative adversarial networks (GANs) are increasingly used in marketing,
journalism, social media, and political propaganda. A study published in iScience investigated if and how participants can distinguish between GAN and REAL faces and the social consequences of their exposure to artificial faces. GAN faces were more likely to be perceived as real than REAL faces. The findings point to potentially far-reaching consequences for the pervasive use of GAN faces in a culture powered by images at unprecedented levels.

On the realness of people who do not exist The social processing of artificial faces – ScienceDirect