Contribution of geotagged Twitter data in the study of a social group’s activity space
Since 2009, the social media Twitter provides free access to localization data consisting of geotagged messages sent on the platform. We used this data to highlight their potential contributions to the study of social groups’ activity space. Using a sample of luxury shoppers, we analyzed the daily a...
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| Publicat a: | URI:https://journals.openedition.org/netcom, |
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| Autors principals: | , |
| Format: | Article ou chapitre numérique |
| Idioma: | Anglais |
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Netcom
2017
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| Accés en línia: | Accès Université d'Orléans et IFPM Accès Université d'Orléans et IFPM |
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openedition-oai:revues.org:netcom_2529 |
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openedition-oai:revues.org:netcom_2529 https://doi.org/10.4000/netcom.2529 urn:doi:10.4000/netcom.2529 en https://journals.openedition.org/netcom/2529 2017-03-24T01:00:00Z info:eu-repo/semantics/openAccess article info:eu-repo/semantics/article urn:handle:20.500.13089/ij7s https://creativecommons.org/licenses/by-nc-nd/4.0/ Contribution of geotagged Twitter data in the study of a social group’s activity space Netcom Netcom Association info:eu-repo/semantics/reference/issn/2431-210X info:eu-repo/semantics/reference/issn/0987-6014 URI:https://journals.openedition.org/netcom Cebeillac, Alexandre Rault, Yves-Marie Twitter Inde réseau social espace d’activité donnée géo-localisée consommateur du luxe Delhi Twitter India social media activity space social networking service geotagged data luxury shopper upper middle class Delhi Since 2009, the social media Twitter provides free access to localization data consisting of geotagged messages sent on the platform. We used this data to highlight their potential contributions to the study of social groups’ activity space. Using a sample of luxury shoppers, we analyzed the daily activity and mobility patterns of the upper middle class in Delhi, India. We intersected these data with the results of an ethnographic study carried out in two luxury shopping places in Delhi and found that the lower middle class was overrepresented in the Twitter sample. We argue that the varying motivation to post on social media tend to skew the representativeness of social groups sampled on a spatial criterion. We eventually advocate the complementary use of geotagged social media data and qualitative data based on ethnographic research. Depuis 2009, le réseau social en ligne Twitter garantit un accès libre à des données de localisation provenant des messages envoyés sur sa plateforme. Dans le cadre d’une étude sur la classe moyenne supérieure indienne, nous avons utilisé ces données pour analyser les espaces d’activité des consommateurs de luxe à Delhi. En croisant les données Twitter avec les résultats d’une étude ethnographique menée dans deux complexes commerciaux de luxe à Delhi, nous interroge les potentiels usages et les limites des données issues des réseaux sociaux dans l’étude des groupes sociaux. Nous avançons que les différentes motivations sociales à tweeter biaisent la représentativité d’un échantillon sélectionné sur une base spatiale. Nous défendons alors l’usage de données qualitatives issues de recherches ethnographiques en complément des données géo-localisées. |
| collection |
OpenEdition Journal |
| language |
Anglais |
| format |
Article ou chapitre numérique |
| building |
0/Bibliothèque numérique/ 1/Bibliothèque numérique/OpenEdition Journals/ |
| topic |
Twitter Inde réseau social espace d’activité donnée géo-localisée consommateur du luxe Delhi India social media activity space social networking service geotagged data luxury shopper upper middle class Delhi |
| spellingShingle |
Twitter Inde réseau social espace d’activité donnée géo-localisée consommateur du luxe Delhi India social media activity space social networking service geotagged data luxury shopper upper middle class Delhi Cebeillac, Alexandre Rault, Yves-Marie Contribution of geotagged Twitter data in the study of a social group’s activity space |
| description |
Since 2009, the social media Twitter provides free access to localization data consisting of geotagged messages sent on the platform. We used this data to highlight their potential contributions to the study of social groups’ activity space. Using a sample of luxury shoppers, we analyzed the daily activity and mobility patterns of the upper middle class in Delhi, India. We intersected these data with the results of an ethnographic study carried out in two luxury shopping places in Delhi and found that the lower middle class was overrepresented in the Twitter sample. We argue that the varying motivation to post on social media tend to skew the representativeness of social groups sampled on a spatial criterion. We eventually advocate the complementary use of geotagged social media data and qualitative data based on ethnographic research. |
| author |
Cebeillac, Alexandre Rault, Yves-Marie |
| author_facet |
Cebeillac, Alexandre Rault, Yves-Marie |
| author_sort |
Cebeillac, Alexandre |
| title |
Contribution of geotagged Twitter data in the study of a social group’s activity space |
| title_short |
Contribution of geotagged Twitter data in the study of a social group’s activity space |
| title_full |
Contribution of geotagged Twitter data in the study of a social group’s activity space |
| title_fullStr |
Contribution of geotagged Twitter data in the study of a social group’s activity space |
| title_full_unstemmed |
Contribution of geotagged Twitter data in the study of a social group’s activity space |
| title_sort |
contribution of geotagged twitter data in the study of a social group’s activity space |
| publisher |
Netcom |
| publishDate |
2017 |
| container_title |
URI:https://journals.openedition.org/netcom |
| url |
https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.4000/netcom.2529 https://ezproxy.univ-orleans.fr/login?url=https://journals.openedition.org/netcom/2529 |
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