Unmasking Illusions: Understanding Human Perception of Audiovisual Deepfakes

arXiv:2405.04097v1 Announce Type: cross
Abstract: The emergence of contemporary deepfakes has attracted significant attention in machine learning research, as artificial intelligence (AI) generated synthetic media increases the incidence of misinterpretation and is difficult to distinguish from genuine content. Currently, machine learning techniques have been extensively studied for automatically detecting deepfakes. However, human perception has been less explored. Malicious deepfakes could ultimately cause public and social problems. Can we humans correctly perceive the authenticity of the content of the videos we …

abstract artificial artificial intelligence arxiv attention cs.ai cs.cv cs.cy cs.lg cs.mm deepfakes detecting deepfakes emergence generated however human intelligence machine machine learning machine learning techniques media perception research synthetic synthetic media type understanding