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Playing the credit score game

Algorithms, 'Positive' Data and the Personification of Financial Objects

Bibliographic Data

ID2159757
AuthorsMark Kear (0000-0003-3998-3481, University of Arizona)
Year2017
Volume46
Issue3-4
Pages346-368
Publication date2017-10-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueEconomy and Society (JOURNAL)
Journal identifiersISSN: 0308-5147 • E-ISSN: 1469-5766
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/03085147.2017.1412642
OpenAlexW2783343898
LanguageEN
Citations received28
References cited40

This paper is about how people are learning to 'make themselves up' in response to the market's new algorithmic ways of seeing. More specifically, it explores how the self-datafication of informal financial relations is being used to affect the calculation of credit score. I argue that credit score functions as a legal technology of arbitration beset with contradictions that are giving rise to inchoate struggles over the distribution of calculative agency in consumer credit markets. Drawing on an ethnographic case study of credit building peer 'lending circles', the paper explores how financially marginalized groups and financial inclusion advocates are reacting to the blind spots and biases of credit-scoring algorithms through compensatory and transgressive data-generation practices

Algorithm · Economics · Banking stability, regulation, efficiency · Computer Science · FinTech, Crowdfunding, Digital Finance · Housing, Finance, and Neoliberalism · Finance

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Unique citing works28
Citations per year4
Citation span2019 - 2025 (7)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 28

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