Algorithmic regulation. A maturing concept for investigating regulation of and through algorithms

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dc.contributor.authorUlbricht, Lena
dc.contributor.authorYeung, Karen
dc.date.accessioned2023-08-30T14:24:38Z
dc.date.available2023-08-30T14:24:38Z
dc.date.issued2022
dc.description.abstractThis paper offers a critical synthesis of the articles in this Special Issue with a view to assessing the concept of “algorithmic regulation” as a mode of social coordination and control articulated by Yeung in 2017. We highlight significant changes in public debate about the role of algorithms in society occurring in the last five years. We also highlight prominent themes that emerge from the contributions, illuminating what is distinctive about the concept of algorithmic regulation, reflecting upon some of its strengths, limitations, and its relationship with the broader research field. In closing, we argue that the core concept is valuable and maturing. It has evolved into an analytical bridge that fosters cross-disciplinary development and analysis in ways that enrich its early “skeletal” form, thereby enabling careful and context-sensitive analysis of algorithmic regulation in concrete settings while facilitating critical reflection concerning the legitimacy of existing and proposed regulatory regimes.
dc.identifier.citationUlbricht, L., & Yeung, K. (2022). Algorithmic regulation: A maturing concept for investigating regulation of and through algorithms. Regulation & Governance, 16(1), 3–22. https://doi.org/10.1111/rego.12437
dc.identifier.doihttps://doi.org/10.1111/rego.12437
dc.identifier.eissn1748-5991
dc.identifier.urihttps://www.weizenbaum-library.de/handle/id/272
dc.language.isoeng
dc.rightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectaccountability
dc.subjectdata protection
dc.subjectethics
dc.subjectplatform capitalism
dc.subjectsurveillance
dc.subject.ddc320 Politikwissenschaft
dc.subject.ddc004 Informatik
dc.titleAlgorithmic regulation. A maturing concept for investigating regulation of and through algorithms
dc.typeArticle
dc.type.statuspublishedVersion
dcmi.typeText
dcterms.bibliographicCitation.issue1
dcterms.bibliographicCitation.journaltitleRegulation & Governance
dcterms.bibliographicCitation.pageend22
dcterms.bibliographicCitation.pagestart3
dcterms.bibliographicCitation.volume16
local.researchgroupQuantifizierung und gesellschaftliche Regulierung
local.researchtopicVerantwortung – Vertrauen – Governance
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