Dance to my tune! Discovery mode and built-in recommendation bias


Gambato, Jacopo ; Sandrini, Luca


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URN: urn:nbn:de:bsz:180-madoc-709530
Document Type: Working paper
Year of publication: 2025
The title of a journal, publication series: ZEW Discussion Papers
Volume: 25-037
Place of publication: Mannheim
Publication language: English
Institution: Sonstige Einrichtungen > ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung
MADOC publication series: Veröffentlichungen des ZEW (Leibniz-Zentrum für Europäische Wirtschaftsforschung) > ZEW Discussion Papers
Subject: 330 Economics
Classification: JEL: D4 , L1 , L5,
Keywords (English): platform economics , Discovery Mode , content aggregator , recommendation bias , streaming platforms
Abstract: We examine the strategic considerations and effects of product placement services in digital content aggregators, focusing in particular on Spotify’s “Discovery Mode”. Discovery Mode introduces bias in users’ consumption bundle that content providers pay through discounted royalties, and triggers users to actively adjust to it in response. The platform’s ability to manipulate consumption bundles (and adjust users’ participation fee consistently) leads to promotion of the cheapest content available and degradation of users’ effective consumption bundles. In equilibrium, Discovery Mode can either benefit or harm the provider of the cheapest content to stream, with the harm arising whenever Discovery Mode threatens to revert preexisting bias against said provider. Importantly, Discovery Mode always forces users to costly adjust their consumption more, unequivocally generating loss of efficiency in the market. We further highlight an indirect increase in the risk of market concentration stemming from the platform’s ability to bias consumption.




Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt.




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