Breaking up Big Tech: scissor-line suggestions for smart cuts

Abstract Calls for the breakup of Big Tech, especially where behavioural remedies are cumbersome to enforce effectively, are becoming louder on both sides of the Atlantic. If there are going to be structural remedies against network companies, we propose they better be ‘smart cuts’: targeted interventions to insulate core platform functions with minimal damage to positive network effects. One major concern with dominant platforms is information bias: intentional distortion of information presented to a user to steer them away from the best matches to their query and towards content that benefits the platform instead. It can be addressed by separating a hybrid platform’s recommender system from its peripheral services with commercial tentacles in the real economy. This realigns incentives to provide users with unbiased information and invites competition on and between intermediaries. We offer scissor-line suggestions for the gatekeepers Alphabet, Amazon, and Apple. Smart cuts have a conceptual basis: they go beyond unwinding recent acquisitions and open up ecosystem structures to competition, allow for targeted flanking access regulation, and alleviate competition law enforcement.

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Publication Details

Journal
Journal of Antitrust Enforcement
Published
2024-11-20
DOI
https://doi.org/10.1093/jaenfo/jnae048
Citations
2
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
1.06
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article

Breaking up Big Tech: scissor-line suggestions for smart cuts

Maarten Pieter Schinkel, Ruben J van Oosten
2 citations
Journal of Antitrust Enforcement
Big Data and Business Intelligence
1.06
article

Breaking up Big Tech: scissor-line suggestions for smart cuts

Maarten Pieter Schinkel, Ruben J van Oosten
article en
2 citations

Abstract

Abstract Calls for the breakup of Big Tech, especially where behavioural remedies are cumbersome to enforce effectively, are becoming louder on both sides of the Atlantic. If there are going to be structural remedies against network companies, we propose they better be ‘smart cuts’: targeted interventions to insulate core platform functions with minimal damage to positive network effects. One major concern with dominant platforms is information bias: intentional distortion of information presented to a user to steer them away from the best matches to their query and towards content that benefits the platform instead. It can be addressed by separating a hybrid platform’s recommender system from its peripheral services with commercial tentacles in the real economy. This realigns incentives to provide users with unbiased information and invites competition on and between intermediaries. We offer scissor-line suggestions for the gatekeepers Alphabet, Amazon, and Apple. Smart cuts have a conceptual basis: they go beyond unwinding recent acquisitions and open up ecosystem structures to competition, allow for targeted flanking access regulation, and alleviate competition law enforcement.

Journal of Antitrust EnforcementVol. 13(2)
Amsterdam University College (NL), Tinbergen Institute (NL), Amsterdam University of Applied Sciences (NL), University of Amsterdam (NL)
Peace, Justice and strong institutions
Openalex Percentile: Top 16%
Big Data and Business Intelligence
1.06
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