Algorithmic tenancies and the ordinal tenant: digital risk-profiling in England’s private rented sector

Alison Wallace, David Beer, Roger Burrows*, Alexandra Ciocănel, James Cussens

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

8 Citations (Scopus)

Abstract

This paper examines digital tenant risk-profiling tools in England’s Private Rented Sector (PRS) and their influence on housing access and fairness. Based on qualitative data from 50 interviews and a survey of PRS landlords drawn from a larger project, the study analyses adoption patterns, algorithmic biases and the implications for tenant rights. Issues such as data privacy, discrimination, and exclusionary practices affecting marginalised groups are highlighted. The research underscores how digital platforms reshape landlord-tenant relationships and broader housing market dynamics in the light of recent, broader, theorisations of what sociologists Marian Fourcade and Kieran Healy have conceptualised as an emerging ordinal society. In this article, we argue that the logic of such metrics and data-informed algorithmic systems has led to the emergence of an ordinal tenant.
Original languageEnglish
Number of pages21
JournalHousing Studies
Early online date27 Jan 2025
DOIs
Publication statusE-pub ahead of print - 27 Jan 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Research Groups and Themes

  • SPS Centre for Urban and Public Policy Research

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