This study investigates how patterns of media use and exposure to media messages are related to attitudes about artificial intelligence (AI) image generators. In doing so, it builds on theoretical accounts of media framing and public opinion about science and technology topics, including AI. The analyses draw on data from a survey of the US public (N = 1,035) that included an experimental manipulation of exposure to tweets framing AI image generators in terms of real art, artists’ concerns, artists’ outrage, (...) or competing interpretations. The results show that technology news use and science fiction viewing predicted support for AI art but also predicted belief that AI image generators will take jobs and steal art styles from human artists. In addition, the experimental results demonstrate that exposure to specific media messages can influence these responses. The findings carry implications for understanding the future adoption, use, and regulation of AI image generators. (shrink)

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. (shrink)

As gene editing technologies such as CRISPR have become increasingly prominent, so have media portrayals of them. With this in mind, the present study builds on theoretical accounts of framing effects, cultivation effects, and genre-specific viewing effects to examine how different forms of media use predict attitudes toward applications of gene editing. Specifically, the study tests how news use, overall television viewing, and science fiction viewing are related to such attitudes. The analyses draw on original data from two surveys of (...) the U.S. public, one conducted in 2020 and the other in 2021. The results from both surveys indicate that news use and overall television viewing predict support for uses of gene editing, whereas science fiction viewing is not significantly related to opinion. The findings suggest that media frames and images may carry implications for the trajectory of public opinion about gene editing technologies and, ultimately, the social context for their development and adoption. (shrink)