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The algorithmic fix : Location intelligence, placemaking, and predictable futures

Özkul, Didem (author)
Karlstads universitet,Institutionen för geografi, medier och kommunikation (from 2013),Karlstad Univ, Dept Geog Media & Commun Geomedia, Media & Commun Studies, Karlstad, Sweden.
 (creator_code:org_t)
2021-04-05
2021
English.
In: Convergence. The International Journal of Research into New Media Technologies. - : Sage Publications. - 1354-8565 .- 1748-7382. ; 27:3, s. 594-608
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • With this article, I introduce the 'algorithmic fix' as a framework to analyze contemporary placemaking practices. I discuss how algorithmic practices of placemaking govern and control mobilities. I theorize such practices as the 'algorithmic fix', where location determination technologies, data practices, and machine learning algorithms are used together to 'get a fix on' our whereabouts with the aim of sorting and classifying both people and places. Through a case study of location intelligence, I demonstrate how these digital placemaking practices do not only control and prevent physical mobilities - they are designed to fix who we are and whom we may become with the aim of creating a predictable future. I focus on geo-profiling, geo-fencing, and predictive policing as three key aspects of location intelligence to present a discussion of how 'algorithmic fix' as a framework can provide valuable insights to analyzing contemporary placemaking practices.

Subject headings

SAMHÄLLSVETENSKAP  -- Social och ekonomisk geografi -- Kulturgeografi (hsv//swe)
SOCIAL SCIENCES  -- Social and Economic Geography -- Human Geography (hsv//eng)

Keyword

Geo-fencing
geo-profiling
location intelligence
mobilities
placemaking
prediction
predictive policing
spatial fix
Kulturgeografi
Human Geography

Publication and Content Type

ref (subject category)
art (subject category)

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SOCIAL SCIENCES
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Convergence. The ...
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Karlstad University

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