Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
How should we theorize algorithms?: Five ideal types in analyzing algorithmic normativities
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Arts, Department of History of Science and Ideas.ORCID iD: 0000-0002-7206-2046
Univ Exeter, Sch Business, Tax Adm Res Ctr, Exeter, Devon, England.
2019 (English)In: Big Data and Society, ISSN 2053-9517, E-ISSN 2053-9517, Vol. 6, no 2, article id 2053951719867349Article in journal, Editorial material (Other academic) Published
Abstract [en]

The power of algorithms has become a familiar topic in society, media, and the social sciences. It is increasingly common to argue that, for instance, algorithms automate inequality, that they are biased black boxes that reproduce racism, or that they control our money and information. Implicit in many of these discussions is that algorithms are permeated with normativities, and that these normativities shape society. The aim of this editorial is double: First, it contributes to a more nuanced discussion about algorithms by discussing how we, as social scientists, think about algorithms in relation to five theoretical ideal types. For instance, what does it mean to go under the hood of the algorithm and what does it mean to stay above it? Second, it introduces the contributions to this special theme by situating them in relation to these five ideal types. By doing this, the editorial aims to contribute to an increased analytical awareness of how algorithms are theorized in society and culture. The articles in the special theme deal with algorithms in different settings, ranging from farming, schools, and self-tracking to AIDS, nuclear power plants, and surveillance. The contributions thus explore, both theoretically and empirically, different settings where algorithms are intertwined with normativities.

Place, publisher, year, edition, pages
2019. Vol. 6, no 2, article id 2053951719867349
Keywords [en]
algorithms, theory, normativities, black boxing, infrastructures, actor-network theory
National Category
Computer Sciences Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:uu:diva-393689DOI: 10.1177/2053951719867349ISI: 000480814800001OAI: oai:DiVA.org:uu-393689DiVA, id: diva2:1354599
Funder
Riksbankens JubileumsfondAvailable from: 2019-09-25 Created: 2019-09-25 Last updated: 2019-09-25Bibliographically approved

Open Access in DiVA

fulltext(229 kB)16 downloads
File information
File name FULLTEXT01.pdfFile size 229 kBChecksum SHA-512
5aa2accfedd0f4ea77f9d9fd49bddfbde1caa68686c9d9867f4bc44552013087450c4af9a5c05ca7fac4254c2546264265fe67d292b79924a2a4be1a4d614d8b
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Lee, Francis
By organisation
Department of History of Science and Ideas
In the same journal
Big Data and Society
Computer SciencesInformation Systems, Social aspects

Search outside of DiVA

GoogleGoogle Scholar
Total: 16 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 18 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf