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.
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 language | English |
|---|---|
| Title of host publication | Smart Urban Mobility |
| Subtitle of host publication | Law, Regulation, and Policy |
| Editors | Michèle Finck, Matthias Lamping, Valentina Moscon, Heiko Richter |
| Publisher | Springer |
| Pages | 301-323 |
| Number of pages | 23 |
| ISBN (Electronic) | 978-3-662-61920-9 |
| ISBN (Print) | 978-3-662-61919-3 |
| Publication status | Published - 2020 |
Publication series
| Name | Max Planck Studies on Intellectual Property and Competition Law |
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Keywords
- Uber
- private ordering
- Data protection
- GDPR
- automated decision making
- accuracy
- discrimination
- rating
- recommender systems
