Automated Media: An Institutional Theory Perspective on Algorithmic Media Production and Consumption

被引:205
作者
Napoli, Philip M. [1 ]
机构
[1] Rutgers State Univ, Dept Journalism & Media Studies, New Brunswick, NJ 08903 USA
关键词
NEWS MEDIA; SOCIAL CONSTRUCTION; ORGANIZATIONS; POLITICS; TECHNOLOGY; RELEVANCE; PATTERNS; BUSINESS; POWER; CODE;
D O I
10.1111/comt.12039
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
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.
引用
收藏
页码:340 / 360
页数:21
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