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Locative media and data-driven computing experiments

Sung-Yueh Perng, Rob Kitchin, Leighton Evans Orcid Logo

Big Data & Society, Volume: 3, Issue: 1, Start page: 205395171665216

Swansea University Author: Leighton Evans Orcid Logo

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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...

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Published in: Big Data & Society
ISSN: 2053-9517 2053-9517
Published: 2016
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URI: https://cronfa.swan.ac.uk/Record/cronfa37679
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first_indexed 2017-12-21T13:45:47Z
last_indexed 2020-06-19T12:52:40Z
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spelling 2020-06-19T11:12:21.4399292 v2 37679 2017-12-21 Locative media and data-driven computing experiments cc05810f3465ddddd6814e131f4e9a79 0000-0002-6875-6301 Leighton Evans Leighton Evans true false 2017-12-21 AMED 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. Journal Article Big Data & Society 3 1 205395171665216 2053-9517 2053-9517 Data analytics, computing experiments, locative media, location-based social network, staging, urban future, critical data studies 23 6 2016 2016-06-23 10.1177/2053951716652161 COLLEGE NANME Media COLLEGE CODE AMED Swansea University ERC 2020-06-19T11:12:21.4399292 2017-12-21T10:18:33.6080255 Faculty of Humanities and Social Sciences School of Culture and Communication - Media, Communications, Journalism and PR Sung-Yueh Perng 1 Rob Kitchin 2 Leighton Evans 0000-0002-6875-6301 3 0037679-19012018122415.pdf 37679.pdf 2018-01-19T12:24:15.9770000 Output 162597 application/pdf Version of Record true 2018-01-19T00:00:00.0000000 Released under the terms of a Creative Commons Attribution 3.0 License (CC-BY). true eng
title Locative media and data-driven computing experiments
spellingShingle Locative media and data-driven computing experiments
Leighton Evans
title_short Locative media and data-driven computing experiments
title_full Locative media and data-driven computing experiments
title_fullStr Locative media and data-driven computing experiments
title_full_unstemmed Locative media and data-driven computing experiments
title_sort Locative media and data-driven computing experiments
author_id_str_mv cc05810f3465ddddd6814e131f4e9a79
author_id_fullname_str_mv cc05810f3465ddddd6814e131f4e9a79_***_Leighton Evans
author Leighton Evans
author2 Sung-Yueh Perng
Rob Kitchin
Leighton Evans
format Journal article
container_title Big Data & Society
container_volume 3
container_issue 1
container_start_page 205395171665216
publishDate 2016
institution Swansea University
issn 2053-9517
2053-9517
doi_str_mv 10.1177/2053951716652161
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Culture and Communication - Media, Communications, Journalism and PR{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Culture and Communication - Media, Communications, Journalism and PR
document_store_str 1
active_str 0
description 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.
published_date 2016-06-23T03:47:29Z
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score 11.012678

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