Ride Sharing & Data Privacy: An Analysis of the State of Practice
Carsten Hesselmann, Jan Gertheiss, J\"org P. M\"uller
TL;DR
This paper examines how ride sharing services handle user data privacy, revealing that they collect varying personal data with limited privacy protections, highlighting the need for improved privacy practices.
Contribution
It provides an analysis of current privacy practices in popular ride sharing services, highlighting gaps and inconsistencies in data handling and privacy features.
Findings
Services collect varying personal data
Limited privacy-related features are offered
Privacy practices are inconsistent across providers
Abstract
Digital services like ride sharing rely heavily on personal data as individuals have to disclose personal information in order to gain access to the market and exchange their information with other participants; yet, the service provider usually gives little to no information regarding the privacy status of the disclosed information though privacy concerns are a decisive factor for individuals to (not) use these services. We analyzed how popular ride sharing services handle user privacy to assess the current state of practice. The results show that services include a varying set of personal data and offer limited privacy-related features.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPrivacy, Security, and Data Protection · Sharing Economy and Platforms · Privacy-Preserving Technologies in Data