Playing the credit score game: algorithms, ‘positive’ data and the personification of financial objects

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)346-368
Number of pages23
JournalEconomy and Society
Volume46
Issue number3-4
DOIs
StatePublished - Oct 2 2017

Fingerprint

credit
credit market
arbitration
lending
inclusion
Credit score
Personification
Credit
market
trend
learning
Group
Arbitration
New markets
Credit scoring
Lending
Credit markets
Peers
Consumer credit
Financial inclusion

Keywords

  • algorithmic governance
  • credit score
  • datafication
  • financial inclusion
  • subject formation

ASJC Scopus subject areas

  • History
  • Economics and Econometrics
  • Social Sciences(all)

Cite this

Playing the credit score game : algorithms, ‘positive’ data and the personification of financial objects. / Kear, Mark.

In: Economy and Society, Vol. 46, No. 3-4, 02.10.2017, p. 346-368.

Research output: Contribution to journalArticle

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