Tilted Platforms: Rental Housing Technology and the Rise of Urban Big Data Oligopolies
Geoff Boeing, Max Besbris, David Wachsmuth, Jake Wegmann

TL;DR
This paper examines how rental housing platforms and their underlying technology influence urban inequality, highlighting biases, societal impacts, and policy considerations for equitable benefits across short- and long-term rentals.
Contribution
It provides a critical analysis of how rental platforms shape information and inequality, and offers policy recommendations to address these issues.
Findings
Rental platforms can reinforce existing social biases.
Technology curation favors platform creators' interests.
Differences in impacts between short-term and long-term rentals are underexplored.
Abstract
This article interprets emerging scholarship on rental housing platforms -- particularly the most well-known and used short- and long-term rental housing platforms - and considers how the technological processes connecting both short-term and long-term rentals to the platform economy are transforming cities. It discusses potential policy approaches to more equitably distribute benefits and mitigate harms. We argue that information technology is not value-neutral. While rental housing platforms may empower data analysts and certain market participants, the same cannot be said for all users or society at large. First, user-generated online data frequently reproduce the systematic biases found in traditional sources of housing information. Evidence is growing that the information broadcasting potential of rental housing platforms may increase rather than mitigate sociospatial inequality.…
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
TopicsSharing Economy and Platforms · Housing, Finance, and Neoliberalism · Housing Market and Economics
