Public service algorithms

Balancing the scales between public mission and market pressures at the BBC and VRT

Authors

DOI:

https://doi.org/10.7146/mk.v40i78.147182

Keywords:

Public service media, Public service algorithm, Video-on-demand, Diversity, Universality, Comparative analysis

Abstract

The public service media (PSM) shift to digital-first strategies has generated a rethinking of priorities in content production and distribution. This not only involves the integration of algorithms for the curation of their video-on-demand portals, but also a far-reaching
reform at the organisational level. As personalisation through recommender systems is increasingly popularised by commercial streaming services, PSM are faced with a balancing act between market pressures and fulfilling their public mission. This article contributes to this discussion by investigating how public service algorithms are developed in practice in the cases of the BBC (UK) and VRT (Flanders-Belgium), and how their implementation is guided by the organisations’ remits. Through document analysis and semi-structured interviews conducted in 2024 with 16 PSM representatives, we discuss the ways in which market, policy, and organisational contexts inform the use of algorithms by the two organisations and suggest the need for a re-theorisation of public service algorithms.

Author Biographies

Catalina Iordache, imec-SMIT, Vrije Universiteit Brussel

Senior researcher, imec-SMIT, Vrije Universiteit Brussel

Daniel Martin, University of Leeds

Postdoctoral researcher, School of Media and Communication, University of Leeds

Catherine Johnson, University of Leeds

Professor, School of Media and Communication, University of Leeds

References

Álvarez, M. V., López, J. M. T., & Ruíz, M. J. U. (2020). What are you offering? An overview of VODs and recommender systems in European public service media. In Á. Rocha, C. Ferrás, C. E. Montenegro Marin, & V. H. Medina García (Eds.), Information technology and systems (Vol. 1137) (pp. 725–732). Springer International Publishing.

BBC. (n.d.). Mission, values and public purposes. BBC. https://www.bbc.com/aboutthebbc/governance/mission

BBC. (2024, March 26). A BBC for the future. BBC. https://www.bbc.co.uk/aboutthebbc/documents/a-bbc-for-the-future.pdf

Bennett, J. (2018). Public service algorithms. In D. Freedman, & V. Goblot (Eds.), A future for public service television (pp. 112–120). University of Goldsmith Press.

Bennett, J., & Strange, N. (2011). Television as digital media. Duke University Press.

Boaden, H. (2016, September 27). A more personal BBC for everyone. About the BBC Blog. https://www.bbc.co.uk/webarchive/https%3A%2F%2Fwww.bbc.co.uk%2Fblogs%2Faboutthebbc%2Fentries%2F07eb6d86-8099-44eb-aaa4-483da267df1f

Bruun, H., Münter Lassen, J., & Johnson, C. (2025). Streaming public service television in the age of platforms: Lessons from a comparative analysis of VoD publishing and personalisation in seven markets. PSM-AP Policy Brief. https://doi.org/10.48785/100/298

Bucher, T. (2018). If ... then: Algorithmic power and politics. Oxford University Press.

Carillon, K. (2024). “An algorithm for public service media?” Embedding public service values in the news recommender system on RTBF’s platform. Emerging Media, 2(3), 422–448. https://doi.org/10.1177/27523543241290976

D’Arma, A., Raats, T., & Steemers, J. (2021). Public service media in the age of SVoDs: A comparative study of PSM strategic responses in Flanders, Italy and the UK. Media, Culture & Society, 43(4), 595–784. https://doi.org/10.1177/0163443720972909

Direito-Rebollal, S., & Donders, K. (2022). Public service media as drivers of innovation: A case study analysis of policies and strategies in Spain, Ireland, and Belgium. Communications, 48(1), 43–67. https://doi.org/10.1515/commun-2021-0003

Donders, K. (2019). Public service media beyond the digital hype: Distribution strategies in a platform era. Media, Culture & Society, 41(7), 1011–1028. https://doi.org/10.1177/0163443719857616

Flyvbjerg, B. (2006). Five misunderstandings about case-study research. Qualitative Inquiry, 12(2), 219–245. https://doi.org/10.1177/1077800405284363

Gomez-Uribe, C. A., & Hunt, N. (2016). The Netflix recommender system: Algorithms, business value, and innovation. ACM Transactions on Management Information Systems, 6(4), 1–19. https://doi.org/10.1145/2843948

Grainge, P., & Johnson, C. (2015). Promotional screen industries (1st ed.). Routledge. https://doi.org/10.4324/9781315718682

Hallin, D. C., & Mancini, P. (2004). Comparing media systems: Three models of media and politics. Cambridge University Press. https://doi.org/10.1017/CBO9780511790867

Hallinan, B., & Striphas, T. (2016). Recommended for you: The Netflix prize and the production of algorithmic culture. New Media & Society, 18(1), 117–137. https://doi.org/10.1177/1461444814538646

Helberger, N. (2011). Diversity by design. Journal of Information Policy, 1, 441–469. https://doi.org/10.5325/jinfopoli.1.2011.0441

Helberger, N., Karppinen, K., & D’Acunto, L. (2018). Exposure diversity as a design principle for recommender systems. Information, Communication & Society, 21(2), 191–207. https://doi.org/10.1080/1369118X.2016.1271900

Hildén, J. (2021). The public service approach to recommender systems: Filtering to cultivate. Television & New Media, 23(7), 777–796. https://doi.org/10.1177/15274764211020106

Horowitz, M., & Lowe, G. F. (2020). Public service media in the era of information disorder: Collaboration as a solution for achieving universalism. In In P. Savage, M. Medina, & G. F. Lowe (Eds.), Universalism in public service media: Ripe@2019 (pp. 175–190). Nordicom, University of Gothenburg. https://urn.kb.se/resolve?urn=urn:nbn:se:norden:org:diva-9999

Hutchinson, J. (2023). Digital intermediation: Unseen infrastructure for cultural production. Routledge. https://doi.org/10.4324/9781003177388

Iordache, C., Martin, D., Münter Lassen, J., Raats, T., Świtkowski, F., Gajlewicz-Korab, K., & Johnson, C. (2024). People, personalisation, prominence: A framework for analysing the PSM shift to digital portals and interrogating universality across contexts. International Journal of Cultural Studies, 28(2), 520–541. https://doi.org/10.1177/13678779241296556

Iordache, C., & Raats, T. (2023). The platformization of public service media: A comparative analysis of five BVOD services in western and northern Europe. International Journal of Media & Cultural Politics, 19(1), 3–22. https://doi.org/10.1386/macp_00070_1

Johnson, C., & Dempsey, L. (2024). Public service television in the age of subscription video on demand: Shifting TV audience expectations in the UK during COVID-19. Media, Culture & Society, 46(3), 500–517. https://doi.org/10.1177/01634437231203875

Karppinen, K., & Moe, H. (2019). Texts as data I: Document analysis. In H. Van den Bulck, M. Puppis, K. Donders, & L. Van Audenhove (Eds.), The Palgrave handbook of methods for media policy research (pp. 249–262). Palgrave Macmillan. https://doi.org/10.1007/978-3-030-16065-4_14

Kelly, J. P., & Sørensen, J. K. (2021). “What’s on the interface tonight?”: A longitudinal analysis of the publishing strategies of public service video-on-demand platforms in the UK and Denmark. MedieKultur: Journal of Media and Communication Research, 37(70), Article 70. https://doi.org/10.7146/mediekultur.v37i70.122386

Knijnenburg, B. P., Sivakumar, S., & Wilkinson, D. (2016). Recommender systems for self-actualization. Proceedings of the 10th ACM Conference on Recommender Systems, 11–14. https://doi.org/10.1145/2959100.2959189

Moe, H., & Syvertsen, T. (2009). Researching public service broadcasting. In K. Wahl-Jorgensen, & T. Hanitzsch (Eds.), The handbook of journalism studies (pp. 418–432). Routledge. https://doi.org/10.4324/9780203877685

Möller, J., Trilling, D., Helberger, N., & van Es, B. (2018). Do not blame it on the algorithm: An empirical assessment of multiple recommender systems and their impact on content diversity. Information, Communication & Society, 21(7), 959-977. https://doi.org/10.1080/1369118X.2018.1444076

Ofcom. (2020, December 31). The Ofcom broadcasting code (incorporating the cross-promotion code). Ofcom. Retrieved December 23, 2024, from https://www.ofcom.org.uk/tv-radio-and-on-demand/broadcast-standards/broadcast-code/

Pajkovic, N. (2021). Algorithms and taste-making: Exposing the Netflix recommender system’s operational logics. Convergence. https://doi.org/10.1177/13548565211014464

Pariser, E. (2011). The filter bubble: What the internet is hiding from you. Viking.

Piscopo, A., McGovern, A., Kerlin, L., Kuras, N., Fletcher, J., Wiggins, C., & Stamper, M. (2024). Recommenders with values: Developing recommendation engines in a public service organization. Knight First Amendment Institute at Columbia University. http://knightcolumbia.org/content/recommenders-with-values-developing-recommendationengines-in-a-public-service-organization

Pop Stefanija, A., & Pierson, J. (2023). Algorithmic governmentality, digital sovereignty, and agency affordances: Extending the possible fields of action. Weizenbaum Journal of the Digital Society, 3(2). https://doi.org/10.34669/WI.WJDS/3.2.2

Prato, C. (2023, October 26). Using recommendation algorithms to broaden user taste: VRT’s approach. Twipe. https://www.twipemobile.com/using-recommendation-algorithms-to-broaden-user-taste-vrts-approach/

Savage, P., Medina, M., & Lowe, G. F. (Eds.). (2020). Universalism in public service media: RIPE@2019. Nordicom, University of Gothenburg. https://urn.kb.se/resolve?urn=urn:nbn:se:norden:org:diva-9999

Sørensen, J. K. (2020). The datafication of public service media: Dreams, dilemmas and practical problems a case study of the implementation of personalized recommendations at the Danish public service media ‘DR’. MedieKultur: Journal of Media and Communication Research, 36(69), Article 69. https://doi.org/10.7146/mediekultur.v36i69.121180

Sørensen, J. K., & Hutchinson, J. (2018). Algorithms and public service media. In G. F. Lowe, H. Van den Bulck, & K. Donders (Eds.), Public service media in the networked society: RIPE@2017 (pp. 91–106). Nordicom, University of Gothenburg. https://urn.kb.se/resolve?urn=urn:nbn:se:norden:org:diva-5291

Sørensen, J. K., & Van den Bulck, H. (2020). Public service media online, advertising and the third-party user data business: A trade versus trust dilemma? Convergence: The International Journal of Research into New Media Technologies, 26(2), 421–447. https://doi.org/10.1177/1354856518790203

Sørensen, J. K., Van Den Bulck, H., & Kosta, S. (2020). Stop spreading the data: PSM, trust, and third-party services. Journal of Information Policy, 10, 474–513. https://doi.org/10.5325/jinfopoli.10.2020.0474

Sunstein, C. R. (2018). #Republic: Divided democracy in the age of social media. Princeton University Press.

Van Audenhove, L., & Donders, K. (2019). Talking to people III: Expert interviews and elite interviews. In H. Van den Bulck, M. Puppis, K. Donders, & L. Van Audenhove (Eds.), The Palgrave handbook of methods for media policy research (pp. 179–197). Palgrave Macmillan. https://doi.org/10.1007/978-3-030-16065-4_10

Van den Bulck, H., D’Haenens, L., & Raats, T. (2018). Public service media in western Europe today: Ten countries compared. In L. D’Haenens, H. Sousa, & J. Trappel (Eds.), Comparative media policy, Regulation and governance in Europe (pp. 93–116). Intellect.

Van den Bulck, H., & Moe, H. (2017). Public service media, universality and personalisation through algorithms: Mapping strategies and exploring dilemmas. Media, Culture & Society, 40(6), 875–892. https://doi.org/10.1177/0163443717734407

Vlaamse Gemenschap, & VRT. (2020). VRT Beheersovereenkomst 2021–2025 [VRT Management Contract 2021-2025]. https://www.vrt.be/nl/over-de-vrt/beheersovereenkomst/

Vliegenthart, R. (2012). Analyzing comparative data: Opportunities and challenges. In F. Esser, & T. Hanitzsch (Eds.), The handbook of comparative communication research, (pp. 486–500). Routledge. https://doi.org/10.4324/9780203149102

VRM. (2023). Toezicht op de naleving door de openbare omroep van de beheersovereenkomst met de Vlaamse Gemeenschap [Monitoring of compliance by the public broadcaster with the management agreement with the Flemish Community]. https://publicaties.vlaanderen.be/view-file/58274

VRT. (2022). Jaarverslag 2021 [Annual Report 2021]. VRT. https://www.vrt.be/content/dam/vrtbe/over-de-vrt/prestaties/Jaarverslag2021.pdf

VRT. (2023). Jaarverslag 2022 [Annual report 2022]. VRT. https://www.vrt.be/nl/over-de-vrt/prestaties/jaarverslag/

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Published

2025-05-28

How to Cite

Iordache, C., Martin, D., & Johnson, C. (2025). Public service algorithms: Balancing the scales between public mission and market pressures at the BBC and VRT. MedieKultur: Journal of Media and Communication Research, 40(78). https://doi.org/10.7146/mk.v40i78.147182