Thinking about measuring Augé’s non-places with Big Data

Augé describes non-places as quantifiable and measureable physical space, but does not give an appropriate measure to do so. This contribution thinks about using crowd-harvested photo data, a specific kind of Big Data, to measure non-places in the context of tourism by giving a theory based discussi...

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Main Author: Michael Bauder
Format: Article
Language:English
Published: SAGE Publishing 2016-08-01
Series:Big Data & Society
Online Access:https://doi.org/10.1177/2053951716665130
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spelling doaj-8d34e270fb504ca49c62066191a24f272020-11-25T03:11:21ZengSAGE PublishingBig Data & Society2053-95172016-08-01310.1177/205395171666513010.1177_2053951716665130Thinking about measuring Augé’s non-places with Big DataMichael BauderAugé describes non-places as quantifiable and measureable physical space, but does not give an appropriate measure to do so. This contribution thinks about using crowd-harvested photo data, a specific kind of Big Data, to measure non-places in the context of tourism by giving a theory based discussion on Augé’s non-places, photography as key element of “doing” tourism, and the selection processes of photography and uploading photos. Solely using theoretical thoughts and propositional logic, this contribution indicates that it could be possible to do so. Yet, there are plenty of empirical studies needed in order to verify the built hypothesis.https://doi.org/10.1177/2053951716665130
collection DOAJ
language English
format Article
sources DOAJ
author Michael Bauder
spellingShingle Michael Bauder
Thinking about measuring Augé’s non-places with Big Data
Big Data & Society
author_facet Michael Bauder
author_sort Michael Bauder
title Thinking about measuring Augé’s non-places with Big Data
title_short Thinking about measuring Augé’s non-places with Big Data
title_full Thinking about measuring Augé’s non-places with Big Data
title_fullStr Thinking about measuring Augé’s non-places with Big Data
title_full_unstemmed Thinking about measuring Augé’s non-places with Big Data
title_sort thinking about measuring augé’s non-places with big data
publisher SAGE Publishing
series Big Data & Society
issn 2053-9517
publishDate 2016-08-01
description Augé describes non-places as quantifiable and measureable physical space, but does not give an appropriate measure to do so. This contribution thinks about using crowd-harvested photo data, a specific kind of Big Data, to measure non-places in the context of tourism by giving a theory based discussion on Augé’s non-places, photography as key element of “doing” tourism, and the selection processes of photography and uploading photos. Solely using theoretical thoughts and propositional logic, this contribution indicates that it could be possible to do so. Yet, there are plenty of empirical studies needed in order to verify the built hypothesis.
url https://doi.org/10.1177/2053951716665130
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