The algorithmic fix: Location intelligence, placemaking, and predictable futures. (June 2021)

• Record Type: Journal Article
• Authors: Özkul, Didem
• Is Part Of: Convergence. Volume 27:Number 3(2021)
• Page Start: 594
• Page End: 608
• Publication Date: 2021-06
• Subjects: Geo-fencing -- geo-profiling -- location intelligence -- mobilities -- placemaking -- prediction -- predictive policing -- spatial fix; Mass media -- Technological innovations -- Periodicals; Telecommunication -- Periodicals; Mass media and technology -- Periodicals; 621.3897
• DOI: 10.1177/13548565211005644
• Languages: English
• ISSNs: 1354-8565

Abstract

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.