L’involution géographique : des données géosociales aux algorithmes

Geolocated data shared on the social web arouse geographers’ interest. While some of them advocate their potential for academic research, others remain less enthusiastic. I argue here that the benefits from the analyses of such data are poor, nay absent ; if Space is considered not just as a simple...

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Main Author: Teriitutea Quesnot
Format: Article
Language:English
Published: Netcom Association 2016-12-01
Series:Netcom
Subjects:
Online Access:https://journals.openedition.org/netcom/2545
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author Teriitutea Quesnot
author_facet Teriitutea Quesnot
author_sort Teriitutea Quesnot
collection DOAJ
description Geolocated data shared on the social web arouse geographers’ interest. While some of them advocate their potential for academic research, others remain less enthusiastic. I argue here that the benefits from the analyses of such data are poor, nay absent ; if Space is considered not just as a simple extent, but as a meaningful content of social interactions. In particular, I put forward three arguments to support this position : « geosocial » « data » are (1) manufactured by profit organizations, (2) contextless and consequently (3) exclusively interpretable in terms of location.
format Article
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institution Kabale University
issn 0987-6014
2431-210X
language English
publishDate 2016-12-01
publisher Netcom Association
record_format Article
series Netcom
spelling doaj-art-e24a141a708641c6a16d77e3218aede92025-01-30T11:01:07ZengNetcom AssociationNetcom0987-60142431-210X2016-12-013028130410.4000/netcom.2545L’involution géographique : des données géosociales aux algorithmesTeriitutea QuesnotGeolocated data shared on the social web arouse geographers’ interest. While some of them advocate their potential for academic research, others remain less enthusiastic. I argue here that the benefits from the analyses of such data are poor, nay absent ; if Space is considered not just as a simple extent, but as a meaningful content of social interactions. In particular, I put forward three arguments to support this position : « geosocial » « data » are (1) manufactured by profit organizations, (2) contextless and consequently (3) exclusively interpretable in terms of location.https://journals.openedition.org/netcom/2545big datacritical geographyhuman spatialityplacesocial space
spellingShingle Teriitutea Quesnot
L’involution géographique : des données géosociales aux algorithmes
Netcom
big data
critical geography
human spatiality
place
social space
title L’involution géographique : des données géosociales aux algorithmes
title_full L’involution géographique : des données géosociales aux algorithmes
title_fullStr L’involution géographique : des données géosociales aux algorithmes
title_full_unstemmed L’involution géographique : des données géosociales aux algorithmes
title_short L’involution géographique : des données géosociales aux algorithmes
title_sort l involution geographique des donnees geosociales aux algorithmes
topic big data
critical geography
human spatiality
place
social space
url https://journals.openedition.org/netcom/2545
work_keys_str_mv AT teriituteaquesnot linvolutiongeographiquedesdonneesgeosocialesauxalgorithmes