Book chapter
English

Algorithm-driven information gatekeepers: conflicts of interest in the digital platform business models

ContributorsDarbellay, Aline
Published inLee, Joseph ; Darbellay, Aline (Ed.), Data governance in AI, FinTech and LegalTech: Law and Regulation in the Financial Sector, p. 79-99
PublisherCheltenham : Edward Elgar Publishing
Publication date2022
Abstract

This chapter explores the increasing adoption of platform business models in the banking and financial sector. Digital platforms operate in two-sided markets where they deal with both users of content and commercial customers that have diverging interests. This study examines how the law and regulation shall apprehend the related issue of conflicts of interest. It is argued that digital platforms perform a gatekeeping function by playing a role as information intermediaries. Challenges are posed to corporate governance. Amending the legal and regulatory framework is necessary to the extent that existing mechanisms fail to protect important stakeholders that are beneficiaries of information.

Keywords
  • Plates-formes numériques
  • Modèles commerciaux
  • Banques
  • Finance
  • Informations financières
  • Conflits d'intérêts
  • Réglementation
  • Droit
Citation (ISO format)
DARBELLAY, Aline. Algorithm-driven information gatekeepers: conflicts of interest in the digital platform business models. In: Data governance in AI, FinTech and LegalTech: Law and Regulation in the Financial Sector. Lee, Joseph ; Darbellay, Aline (Ed.). Cheltenham : Edward Elgar Publishing, 2022. p. 79–99. doi: 10.4337/9781800379954.00012
Main files (1)
Book chapter (Published version)
accessLevelPrivate
Identifiers
ISBN978-1-80037-994-7
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Creation21/06/2022 15:12:00
First validation21/06/2022 15:12:00
Update time16/03/2023 07:49:29
Status update16/03/2023 07:49:28
Last indexation01/11/2024 02:59:50
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