Private Ordering of Online Platforms in Smart Urban Mobility: The Case of Uber’s Rating System

Rossana Ducato* (Corresponding Author)

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

Rating and review systems are a self-regulatory mechanism widely used by online platforms, especially in the smart mobility sector. Such systems have already been analysed in empirical studies and legal contributions, in particular in the fields of consumer law and labour law.
This chapter aims to make an original contribution to the current debate from a relatively underinvestigated perspective: how rating and review systems interact with the European data protection framework. As a case study, the chapter will focus on the rating system adopted by Uber, one of the largest shared mobility platforms worldwide.
Original languageEnglish
Title of host publicationSmart Urban Mobility
Subtitle of host publicationLaw, Regulation, and Policy
EditorsMichèle Finck, Matthias Lamping, Valentina Moscon, Heiko Richter
PublisherSpringer
Pages301-323
Number of pages23
ISBN (Electronic)978-3-662-61920-9
ISBN (Print)978-3-662-61919-3
Publication statusPublished - 2020

Publication series

NameMax Planck Studies on Intellectual Property and Competition Law

Keywords

  • Uber
  • private ordering
  • Data protection
  • GDPR
  • automated decision making
  • accuracy
  • discrimination
  • rating
  • recommender systems

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