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Friction in the Netflix machine: how screen workers interact with streaming data

Nina Rasmussen

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

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.

Keywords: algorithms; Amazon; big data; creative labour; creative methods; datafication; Netflix; production cultures; streaming; AH/L503873/1 (search for similar items in EconPapers)
JEL-codes: J01 R14 (search for similar items in EconPapers)
Pages: 17 pages
Date: 2024-05-10
New Economics Papers: this item is included in nep-cul and nep-pay
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Published in New Media & Society, 10, May, 2024. ISSN: 1461-4448

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