Abstract

This study examines how different forms of media use predict attitudes toward the development of facial recognition technology (FRT) and applications of it by law enforcement to identify criminal suspects, identify potential terrorists, and monitor public protests. The theoretical framework builds on theories of cultivation and genre-specific viewing to develop hypotheses and research questions. The analyses draw on original data from two nationally representative surveys of the U.S. public conducted in 2020, amid a series of controversies and protests about policing and racial justice. The results demonstrate that overall television viewing and crime media viewing predicted support for multiple uses of FRT, while Fox News viewing predicted support for using FRT to monitor protests. The findings advance our understanding of public opinion toward the technology and its implications for policing, protests, and social justice.