Big Data and algorithmic governance: the case of financial practices
Malcolm Campbell-Verduyn,
Marcel Goguen and
Tony Porter
New Political Economy, 2017, vol. 22, issue 2, 219-236
Abstract:
Big Data and algorithmic governance are transforming traditional institutions and media of transnational governance in manners that hold important implications for power, accountability and effectiveness. Drawing on actor-network theory, this paper contrasts utopian or dystopian views on the increasing presence of Big Data in contemporary financial practices. We scrutinise the emerging impacts of Big Data in the public governance of private banks in the Basel III arrangements, private governance of individual actors in credit scoring and anarchic competitive governance of markets in high-frequency trading. Our findings reveal varied and emergent forms of governance through, with and by algorithms.
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://hdl.handle.net/10.1080/13563467.2016.1216533 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:cnpexx:v:22:y:2017:i:2:p:219-236
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/cnpe20
DOI: 10.1080/13563467.2016.1216533
Access Statistics for this article
New Political Economy is currently edited by Professor Colin Hay
More articles in New Political Economy from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().