The recent emergence of machine-manipulated media raises an important societal question: How can we know whether a video that we watch is real or fake? In two online studies with 15,016 participants, we present authentic videos and deepfakes and ask participants to identify which is which. We compare the performance of ordinary human observers with the leading computer vision deepfake detection model and find them similarly accurate, while making different kinds of mistakes. Together, participants with access to the model’s prediction (...) are more accurate than either alone, but inaccurate model predictions often decrease participants’ accuracy. To probe the relative strengths and weaknesses of humans and machines as detectors of deepfakes, we examine human and machine performance across video-level features, and we evaluate the impact of preregistered randomized interventions on deepfake detection. We find that manipulations designed to disrupt visual processing of faces hinder human participants’ performance while mostly not affecting the model’s performance, suggesting a role for specialized cognitive capacities in explaining human deepfake detection performance. -/- . (shrink)

On the Periphery of the Artworld. The Case of the 55th Venice Biennale -/- The Venice Biennale is sort of a patent agency for art: if a work is exhibited at the Biennale, it is already regarded as being in the center of the contemporary artworld. This year the peculiarity of the Biennale was the emphasis on peripheral works: outsider art is brought to the center of the artworld. The notion of outsider art is paved with contradictions – it’s difficult (...) to find its place either in traditional art theory, or in avant-garde conceptions. This paper aims at making a parallel between outsider art and the readymade, highlights the similarities and differences, and proposes a new term instead of outsider art: “institutional readymade”. (shrink)