  In this paper, we explore whether automatic face recognition can help in
verifying widespread misinformation on social media, particularly conspiracy
theories that are based on the existence of body doubles. The conspiracy theory
addressed in this paper is the case of the Melania Trump body double. We
employed four different state-of-the-art descriptors for face recognition to
verify the integrity of the claim of the studied conspiracy theory. In
addition, we assessed the impact of different image quality metrics on the
variation of face recognition results. Two sets of image quality metrics were
considered: acquisition-related metrics and subject-related metrics.
