Algorithms and taste-making: Exposing the Netflix Recommender System's operational logics. (February 2022)
- Record Type:
- Journal Article
- Title:
- Algorithms and taste-making: Exposing the Netflix Recommender System's operational logics. (February 2022)
- Main Title:
- Algorithms and taste-making: Exposing the Netflix Recommender System's operational logics
- Authors:
- Pajkovic, Niko
- Other Names:
- Nash Kathryn guest-editor.
Trott Verity guest-editor.
Allen William guest-editor. - Abstract:
- As the Streaming Wars continue to heat up, recommendation systems like the Netflix Recommender System (NRS) will become key competitive features for every major over-the-top video streamer. As a result, film and television production and consumption will increasingly be in the hands of semi-autonomous algorithmic technologies. But how do recommendation systems like the NRS work? What purposes do they serve? And what sorts of impacts are they having on film and television culture? To respond to these questions, this article will (1) examine how algorithms are impacting processes of taste-making and (2) re-evaluate some of the critical theoretical perspectives that have come to dominate the discourse surrounding algorithmic cultures. To do so, I join Bucher ((2016) Neither black nor box: Ways of knowing algorithms. In: S Kubitscko and A Kaun (eds) Innovative Methods in Media and Communication Research . Cham: Springer International Publishing, pp. 81–98; (2018) If…then: Algorithmic Power and Politics. London: Oxford University Press) in adopting a relational materialist perspective of algorithms and proceed to reverse engineer the NRS; an experiment that exposes the system's circular and economic logics while highlighting the complex and networked nature of taste-making in the film and television industry.
- Is Part Of:
- Convergence. Volume 28:Number 1(2022)
- Journal:
- Convergence
- Issue:
- Volume 28:Number 1(2022)
- Issue Display:
- Volume 28, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 28
- Issue:
- 1
- Issue Sort Value:
- 2022-0028-0001-0000
- Page Start:
- 214
- Page End:
- 235
- Publication Date:
- 2022-02
- Subjects:
- Algorithms -- film and television -- Netflix -- OTT -- recommendation systems -- relational materialism -- reverse engineering -- streaming -- Streaming Wars -- taste -- taste-making
Mass media -- Technological innovations -- Periodicals
Telecommunication -- Periodicals
Mass media and technology -- Periodicals
621.3897 - Journal URLs:
- http://con.sagepub.com/ ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/13548565211014464 ↗
- Languages:
- English
- ISSNs:
- 1354-8565
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19745.xml