Foreclosure and Exploitation through Recommendation Power
Jens-Uwe Franck and
Martin Peitz ()
CRC TR 224 Discussion Paper Series from University of Bonn and University of Mannheim, Germany
Abstract:
Recommendation systems create value by reducing search and information costs, but they also give platforms control over visibility and effective access to users. Recommendation power can weaken competitive constraints by distorting competition among offers or by protecting the platform’s gateway position against rival gateways and direct routes to users. It can also be used to extract surplus from end users or business users. We present specific theories of harm for these uses of recommendation power and illustrate them with competition cases. We then discuss how these theories of harm can be assessed empirically, accounting for how market participants respond to recommendation design.
Keywords: recommender system; recommendation bias; platform design; foreclosure; exploitation; self preferencing; steering. (search for similar items in EconPapers)
JEL-codes: D83 K21 L12 L13 L41 L42 L86 (search for similar items in EconPapers)
Pages: 33
Date: 2026-10
New Economics Papers: this item is included in nep-des, nep-mic and nep-reg
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Persistent link: https://EconPapers.repec.org/RePEc:bon:boncrc:crctr224_2025_786
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