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Geographies of Algorithmic Violence

Redlining the Smart City

Bibliographic Data

ID4383397
AuthorsSara Safransky (0000-0001-9668-4520, corresponding author)
Year2020
Volume44
Issue2
Pages200-218
Publication date2020-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Urban and Regional Research (JOURNAL)
Journal identifiersISSN: 0309-1317 • E-ISSN: 1468-2427
PublisherWiley (PUBLISHER • GB)
DOI10.1111/1468-2427.12833
OpenAlexW2991031008
LanguageEN
Citations received102
References cited79

City governments are embracing data-driven and algorithmic planning to tackle urban problems. Data-driven analytics have an unprecedented capacity to call urban futures into being. At the same time, they can depoliticize planning decisions. I argue that this shift calls urban studies scholars to investigate geographies of algorithmic violence-a repetitive and standardized form of violence that contributes to the racialization of space and spatialization of poverty. This article examines this broader phenomenon through the case of a proprietary market value assessment that is being used to guide development in cities across the United States. The assessment employs an algorithm that helps city officials make critical decisions about which neighborhoods to target for investment, disinvestment and public service upgrades or disconnections. I argue that the racial, infrastructural, and epistemological violence associated with this evaluation can potentially lead to a new kind of municipal redlining. The article brings insights from critical race theory into conversation with critical scholarship on algorithms by analyzing how algorithmic violence works through data-driven planning technologies to depoliticize and leverage power while further entrenching racism and inequality

Critical race theory · Disinvestment · Economic growth · Economics · Political science · Public relations · Racialization · Racism · Scholarship · Sociology · Ethics and Social Impacts of AI · Law · Smart Cities and Technologies · Urban Planning and Governance · Urban Studies

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Unique citing works102
Citations per year17
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 94

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