HomeTenants' Union of NSW
Reference Library Catalogue

Mediating access: (Record no. 869)

MARC details
000 -LEADER
fixed length control field 02368nam a22002057a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240416150151.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240416b |||||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1369-118X
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Przhedetsky, Linda
9 (RLIN) 831
245 ## - TITLE STATEMENT
Title Mediating access:
Remainder of title unpacking the role of algorithms in digital tenancy application technologies
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Information, Communication and Society
Date of publication, distribution, etc. 2024
300 ## - PHYSICAL DESCRIPTION
Extent 17 pages
500 ## - GENERAL NOTE
General note keywords: PropTech; algorithms; automation; data; housing; tenancy
520 ## - SUMMARY, ETC.
Summary, etc. Digital tenancy application technologies (DTATs) are becoming the dominant means through which renters in the private rental sector (PRS) apply for housing. These PropTech tools, which claim to streamline application processes to save renters and lessors time and effort, necessitate the collection of data. Though the collection of certain data – such as income and rental history – has long been a standard part of rental application processes, DTATs now facilitate the collection of additional data including social media activity, behavioural data, and more. Increasingly, DTATs offer the ability to ‘make sense’ of this data, evaluating applicants through the use of algorithms. Drawing on lessons from banking and insurance sectors, this article outlines how DTAT algorithms can reshape individuals’ access to essential services delivered through competitive markets. It explains how algorithmic processes can introduce and exacerbate the unfair and unlawful treatment of renters, which can result in significant harms. To identify, redress, and prevent these harms, I argue that it is crucially important to use shared terminology to describe how DTATs are collecting and using data. This article introduces a framework for understanding how algorithms ‘screen’ and ‘sort’ applicants based on the data that is collected through DTATs. The process of ‘sorting’ is further broken down into three categories – ‘scoring’, ‘rating’, and ‘ranking’. The article concludes by explaining how this framework can assist researchers and policymakers to identify, analyse and prevent harms that are catalysed, or exacerbated by DTATs.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Communications
9 (RLIN) 519
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Private Rental
9 (RLIN) 501
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1080/1369118X.2024.2334904">https://doi.org/10.1080/1369118X.2024.2334904</a>
Link text View item on publishers website
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Date last seen Uniform Resource Identifier Price effective from Koha item type
No   Dewey Decimal Classification No No tunsw tunsw 16/04/2024   16/04/2024 https://doi.org/10.1080/1369118X.2024.2334904 16/04/2024 Article