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...
Saved in:
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
Netcom Association
2016-12-01
|
Series: | Netcom |
Subjects: | |
Online Access: | https://journals.openedition.org/netcom/2545 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832580398622703616 |
---|---|
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 |
id | doaj-art-e24a141a708641c6a16d77e3218aede9 |
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 |