Friction in the Netflix machine
How screen workers interact with streaming data
Bibliographic Data
| ID | 6443669 |
|---|---|
| Authors | Nina Vindum Rasmussen (0009-0004-1107-167X, London School of Economics and Political Science, corresponding author) |
| Year | 2024 |
| Volume | 27 |
| Issue | 9 |
| Pages | 5239-5256 |
| Publication date | 2024-05-10 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | New Media & Society (JOURNAL) |
| Journal identifiers | ISSN: 1461-4448 • E-ISSN: 1461-7315 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/14614448241250029 |
| OpenAlex | W4396812883 |
| Language | EN |
| Citations received | 16 |
| References cited | 32 |
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
Computer security · Context (archaeology · Data science · Ethnography · Internet privacy · Leverage (statistics · Secrecy · Sociology · World Wide Web · Computer Science · Ethics and Social Impacts of AI · Privacy, Security, and Data Protection · Sexuality, Behavior, and Technology · Artificial Intelligence
The “Netflix Look”
Between global reach and local tensions
Streaming Production Cultures
Streaming Production Cultures
Beyond Global Streamers
The Speculative Labor of Screenwriters in Iran’s New Streaming Economy
Beyond Datafication
“A Really Good Network of People”
Building Castles in the Air
Producing Diversity
Recycling as ‘IP extractivism’ in the age of platformization
Dubbed over
Beyond the streaming black box
Dependence in the online screen industry
Rationalising creative uncertainty? The negotiated use of audience feedback in Danish film production
Understanding game data work
Netflix Nations
If…Then
Desperately Seeking the Audience
Siri, Siri, in my hand
Thematic Analysis
In the age of the smart machine
Creative Labour
Algorithms and taste-making
The algorithmic imaginary
Big data
House of Netflix
Netflix & Big Data
Datafication, dataism and dataveillance
Bodies not templates”
Decoding algorithms
Algorithmic logics and the construction of cultural taste of the Netflix Recommender System
The ‘Netflix Original’ and what it means for the production of European television content
Online TV
Television by the numbers
Netflix audience data, streaming industry discourse, and the emerging realities of ‘popular’ television
Television and the development of the data economy
Provocation
Algorithms as culture
Algorithmic autobiographies and fictions
The Golden Ratio of Algorithms to Artists? Streaming Services and the Platformization of Creativity in American Television Production
Access
| Unique citing works | 16 |
|---|---|
| Citations per year | 8 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 14 |