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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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 |
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DOAJ |
language |
English |
format |
Article |
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DOAJ |
author |
Michael Bauder |
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Michael Bauder Thinking about measuring Augé’s non-places with Big Data Big Data & Society |
author_facet |
Michael Bauder |
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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
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thinking about measuring augé’s non-places with big
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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. |
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https://doi.org/10.1177/2053951716665130 |
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