Automated media: An institutional theory perspective on algorithmic media production and consumption

Communication scholars have recently begun to recognize and investigate the importance of algorithms to a wide range of processes related to the production and consumption of media content. There have been few efforts thus far, though, to connect these developments to potentially relevant bodies of existing theory and research. This article seeks to address this gap by exploring the utility of institutional theory as a potentially useful analytical framework for continued inquiry into the role of algorithms in the operation of media systems, and by offering some suggestions for ways in which an institutional analytical frame can be extended into algorithmic contexts. © 2014 International Communication Association.

Duke Scholars

Author Philip Michael Napoli Sanford School of Public Policy