Towards a Pragmatic Approach for studying Normative Recommender Systems: Exploring Power Dynamics in Digital Platform Markets

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Abstract

Recommender systems (RSs) have become an integral part of digital platforms, helping users to navigate
through the abundance of online content and services. This paper argues that the study of normative RSs
should go beyond the mere conceptualization of normativity and examine the conditions and contextual
factors that might foster normative RSs.
RSs often operate within multisided markets, involving multiple stakeholders who influence and are
influenced by the RS. Ideally, developers of RSs aim for value alignment among diverse stakeholders,
fostering a win-win scenario. However, in practice, system providers hold more power over the design,
often optimizing for their own objectives and neglecting the needs and values of other stakeholders.
These imbalanced power dynamics in digital platform markets pose significant challenges to the design
of normative RSs.
This paper critically examines two key economic dynamics in digital media markets that challenge the
development of normative RSs. The first hurdle describes the susceptibility of digital platform markets
to lock-in and monopolization due to network effects, which skews the power balance in favor system
providers. A second hurdle critically examines the pervasive "attention economy" and corresponding
engagement-centric logic in the design of RSs that might diverge from explicit or long-term users’
preferences despite the success in increasing engagement. To illustrate the importance of these dynamics
in real-world RSs, we present how these hurdles manifest in the domains of video-on-demand and news
media.
In conclusion, this paper advocates for a more pragmatic approach to studying normative RSs by
considering the two hurdles affecting the RS development in contemporary digital platform markets. Furthermore, it highlights the fruitfulness of this pragmatic approach by proposing policy recommendations
to tackle normative challenges in RSs’ design.
Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalCEUR workshop proceedings
Volume3639
Issue numberNA
Publication statusPublished - 12 Feb 2024
Event17th ACM Conference on Recommender Systems
- , Singapore
Duration: 18 Sept 202322 Sept 2023

Keywords

  • recommender systems
  • normativity
  • platform economy
  • power dynamics

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