Mediating access: (Record no. 869)
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000 -LEADER | |
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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 |
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 |
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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 |