Rasmussen, Nina (2024) Friction in the Netflix machine: how screen workers interact with streaming data. New Media & Society. ISSN 1461-4448
Text (Rasmussen_friction-in-the-netflix-machine--published)
- Published Version
Available under License Creative Commons Attribution. Download (385kB) |
Abstract
Data-driven streamers like Netflix and Amazon Prime Video have expanded into the European screen landscape with a significant appetite for locally produced content. These players leverage advanced data analytics to gain deep customer insights, but they prefer to keep a lid on their algorithmic operations. This article examines how screen workers interact with streaming data despite widespread secrecy. Drawing on interviews and an interface ethnography, I explore the ways these workers access, sense, generate and resist streaming data throughout their creative process. As such, the article provides a framework for understanding the subtle and sometimes contradictory ways that screen workers engage with such data practices. I also demonstrate how researchers can circumvent and lower barriers to access in an industry marked by data secrecy. As a result, this article contributes to discussions about the datafication of cultural production, and it does so with novel insights from the European screen context.
Item Type: | Article |
---|---|
Official URL: | https://journals.sagepub.com/home/NMS |
Additional Information: | © 2024 The Author |
Subjects: | H Social Sciences > HD Industries. Land use. Labor P Language and Literature > PN Literature (General) > PN1990 Broadcasting |
Date Deposited: | 18 Apr 2024 13:42 |
Last Modified: | 20 Dec 2024 00:53 |
URI: | http://eprints.lse.ac.uk/id/eprint/122660 |
Actions (login required)
View Item |