Algorithmic Diversity: the Netflix recommendation system as a dimension of the circuit of culture

Authors

DOI:

https://doi.org/10.11606/issn.2238-7714.no.2016.e150101

Keywords:

Diversity, Identity, Circuit of culture, Algorithms, Netflix

Abstract

This article examines Netflix's recommendation system (NRS) and its relation to the diversity strategy adopted by the platform. We discuss how algorithms have become a fundamental dimension of communicational exchanges, shaping the processes of production, representation, consumption, identity, and regulation. Using the circuit of culture as a methodological framework (Du Gay et al., 1997; Escosteguy, 2009), the study combines a literature review on the NRS with an experiment that observes its functioning through the creation of two different profiles on the platform. Findings show that, although Netflix claims not to use demographic data, the NRS encodes and maps identity markers, generating taste communities and micro-genres for “non-normative” identities, influencing both the production and consumption of “diverse” representations, and the identifications they offer, often regulating difference according to normative cultural conventions.

Downloads

Download data is not yet available.

Author Biography

  • Natalia Engler Prudencio, University of São Paulo

    Doutoranda pelo Programa de Pós-Graduação em Meios e Processos Audiovisuais da Escola de Comunicações e Artes da Universidade de São Paulo (PPGMPA ECA-USP). Mestre pelo PPGMPA ECA-USP e European Master of Arts in Media, Communication and Cultural Studies pelo CoMundus Consortium (Erasmus Mundus, título emitido pela Università degli Studi di Frenze, Itália). Jornalista graduada pela ECA-USP.

References

Asmar, A., Raats, T., & Audenhove, L. van. (2023). Streaming difference(s): Netflix and the branding of diversity. Critical Studies in Television, 18 (1), https://doi.org/10.1177/17496020221129516.

Benjamin, R. (2019). Introduction. In Race after Technology: Abolitionist Tools for the New Jim Code. Polity.

Couldry, N., & Mejias, U. A. (2019). Data Colonialism: Rethinking Big Data’s Relation to the Contemporary Sub-ject. Television and New Media, 20 (4), https://doi.org/10.1177/1527476418796632

Derschowitz, J. (2025). The Story Behind Netflix’s Secret Category Codes. Tudum by Netflix. https://www.netflix.com/tudum/articles/netflix-secret-codes-guide.

Du Gay, P., Hall, S., Janes, L., Mackay, H., & Negus, K. (1997). Doing Cultural Studies: The Story of the Sony Walk-man. Sage e The Open University.

Elkins, E. (2019). Algorithmic Cosmopolitanism: On the Global Claims of Digital Entertainment Platforms. Critical Studies in Media Communication, 36 (4), https://doi.org/10.1080/15295036.2019.1630743

Escosteguy, A. C. D. (2009). Quando a recepção já não alcança: os sentidos circulam entre a produção e a re-cepção. E-Compós, 12 (1), https://doi.org/10.30962/EC.348

Gambaro, D., Nunes, V. de P. M., Matus, J. D. B., & Oliveira, M. R. de. (2023). Os sistemas de recomendação da Netflix: uma revisão sistemática da literatura sobre os efeitos na cultura e no mercado audiovisual. Revista Co-municando, 12 (2), https://doi.org/10.58050/COMUNICANDO.V12I2.354

Gaw, F. (2022). Algorithmic Logics and the Construction of Cultural Taste of the Netflix Recommender System. Media, Culture and Society, 44 (4), https://doi.org/10.1177/01634437211053767

Hall, S. (2017). Quem precisa da identidade? In T. T. da Silva (Ed.), Identidade e diferença: a perspectiva dos estu-dos culturais (p. 103-133). Vozes.

Jenner, M. (2018). Netflix and the Re-invention of Television. Springer International Publishing.

Khoo, O. (2023). Picturing Diversity: Netflix’s Inclusion Strategy and the Netflix Recommender Algorithm (NRA). Television and New Media, 24 (3), https://doi.org/10.1177/15274764221102864

Koblin, J. (2024). A Few Words About Netflix’s Success: Vivid. Snappy. Tags. The New York Times. https://www.nytimes.com/2024/01/14/business/media/netflix-streaming-movies-ratings.html.

Netflix. (n.d.). Como funciona o sistema de recomendações da Netflix. Netflix — Central de Ajuda. https://help.netflix.com/pt/node/100639

Noble, S. U. (2021). Introdução: o poder dos algoritmos. In Algoritmos da opressão: como o Google fomenta e lucra com o racismo. Rua do Sabão.

Poell, T., Nieborg, D., & Dijck, J. van. (2020). Plataformização. Fronteiras — Estudos Midiáticos, 22 (1), https://doi.org/10.4013/fem.2020.221.01

Prudencio, N. E. (2025). Diversidade e gramática transnacional na série brasileira De volta aos 15, da Netflix. Trabalho apresentado no XXXIV Encontro Anual da Compós. https://publicacoes.softaliza.com.br/compos2025/article/view/11476

Rasmussen, N. V. (2024). Friction in the Netflix Machine: How Screen Workers Interact with Streaming Data. New Media and Society, 00 (0), https://doi.org/10.1177/14614448241250029.

Ricaurte, P. (2023). Epistemologias de dados, colonialidade do poder e resistência. Dispositiva, 12 (22), https://doi.org/10.5752/P.2237-9967.2023V12N22P6-26

Ricaurte Quijano, P. (2023). Resistencia como reexistencia: la defensa del cuerpo-territorio en la sociedad algo-rítmica. Pléyade (Santiago), 32, https://doi.org/10.4067/S0719-36962023000200065

Silva, T. T. da. (2017). A produção social da identidade e da diferença. In T. T. da Silva (Ed.), Identidade e diferen-ça: a perspectiva dos estudos culturais (p. 73-102). Vozes.

Published

2026-01-30

Issue

Section

ARTICLES

How to Cite

Prudencio, N. E. (2026). Algorithmic Diversity: the Netflix recommendation system as a dimension of the circuit of culture. Novos Olhares, 15, e150101. https://doi.org/10.11606/issn.2238-7714.no.2016.e150101