Smith, H. orcid.org/0000-0001-8144-5754 (2020) The locative imaginary: Classification, context and relevance in location analytics. The Sociological Review, 68 (3). pp. 641-658. ISSN 0038-0261
Abstract
The location analytics industry has the potential to stimulate critical sociological discussions concerning the credibility of data analytics to enact new spatial classifications and metrics of socio-economic phenomena. Key debates in the sociology of geodemographics are revisited in this article in light of recent developments in algorithmic culture to understand how location analytics impacts the structural contexts of classification and relevance in digital marketing. It situates this within a locative imaginary, where marketers are experimenting with consolidating the epistemes of behavioural targeting, classification and performance evaluation in urban environments through spatial analytics of movement. This opens up future research into the political and cultural economies of relevance in media landscapes and the social shaping of valuable subjects by third-party data brokers and analytics platforms that have become matters of public and regulatory concern.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2019. This is an author produced version of a paper subsequently published in Sociological Review. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | data analytics; geodemographics; location analytics; mobile digital culture; relevance |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Sociological Studies (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 23 Feb 2021 12:24 |
Last Modified: | 24 Feb 2021 10:37 |
Status: | Published |
Publisher: | SAGE Publications |
Refereed: | Yes |
Identification Number: | 10.1177/0038026119878939 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:171465 |