Journal article 22780 views 123 downloads
Locative media and data-driven computing experiments
Big Data & Society, Volume: 3, Issue: 1, Start page: 205395171665216
Swansea University Author:
Leighton Evans
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DOI (Published version): 10.1177/2053951716652161
Abstract
Over the past two decades urban social life has undergone a rapid and pervasive geocoding, becoming mediated, augmented and anticipated by location-sensitive technologies and services that generate and utilise big, personal, locative data. The production of these data has prompted the development of...
| Published in: | Big Data & Society |
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| ISSN: | 2053-9517 2053-9517 |
| Published: |
2016
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa37679 |
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| Abstract: |
Over the past two decades urban social life has undergone a rapid and pervasive geocoding, becoming mediated, augmented and anticipated by location-sensitive technologies and services that generate and utilise big, personal, locative data. The production of these data has prompted the development of exploratory data-driven computing experiments that seek to find ways to extract value and insight from them. These projects often start from the data, rather than from a question or theory, and try to imagine and identify their potential utility. In this paper, we explore the desires and mechanics of data-driven computing experiments. We demonstrate how both locative media data and computing experiments are ‘staged’ to create new values and computing techniques, which in turn are used to try and derive possible futures that are ridden with unintended consequences. We argue that using computing experiments to imagine potential urban futures produces effects that often have little to do with creating new urban practices. Instead, these experiments promote Big Data science and the prospect that data produced for one purpose can be recast for another and act as alternative mechanisms of envisioning urban futures. |
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| Keywords: |
Data analytics, computing experiments, locative media, location-based social network, staging, urban future, critical data studies |
| College: |
Faculty of Humanities and Social Sciences |
| Issue: |
1 |
| Start Page: |
205395171665216 |