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Algorithmic television in the age of large-scale customization
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Shapiro, Stephen (2020) Algorithmic television in the age of large-scale customization. Television & New Media, 21 (6). pp. 658-663. doi:10.1177/1527476420919691 ISSN 1527-4764.
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Official URL: http://dx.doi.org/10.1177/1527476420919691
Abstract
One challenge that Television Studies faces today is how to respond to the rise of an industry increasingly organized by what Antoinette Rouvroy calls “data behavioralism.” The rise of streaming prestige television, exemplified by Netflix, has significant implications within the U.S. screen industry, but the “Netflix effect,” as McDonald and Smith-Rowsey call it, is more than just a change in the industrial mode of production, means of distribution, and method of consumption. The datalogic turn on which Netflixism is based also undermines the theoretical models on which Television Studies was largely built, including theories of representation, visual interpellation and pleasure, and power as “productive.” Hence, the rise of algorithmic television is not simply a new “object” or “wave” for us to study and comment upon; it challenges the mode of knowledge-production (or dispositif) on which the field has grounded itself.
Item Type: | Journal Article | ||||||
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Subjects: | P Language and Literature > PN Literature (General) > PN1990 Broadcasting | ||||||
Divisions: | Faculty of Arts > English and Comparative Literary Studies | ||||||
Library of Congress Subject Headings (LCSH): | Television -- Social aspects, Netflix (Firm), Algorithms, Television broadcasting, Content analysis (Communication), Video-on-demand, Internet -- Social aspects | ||||||
Journal or Publication Title: | Television & New Media | ||||||
Publisher: | Sage Publications Inc | ||||||
ISSN: | 1527-4764 | ||||||
Official Date: | September 2020 | ||||||
Dates: |
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Volume: | 21 | ||||||
Number: | 6 | ||||||
Page Range: | pp. 658-663 | ||||||
DOI: | 10.1177/1527476420919691 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 19 October 2020 | ||||||
Date of first compliant Open Access: | 20 October 2020 |
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