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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Main Authors: Alexandre Cebeillac, Yves-Marie Rault
Format: Article
Language:English
Published: Netcom Association 2016-12-01
Series:Netcom
Subjects:
Online Access:https://journals.openedition.org/netcom/2529
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author Alexandre Cebeillac
Yves-Marie Rault
author_facet Alexandre Cebeillac
Yves-Marie Rault
author_sort Alexandre Cebeillac
collection DOAJ
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.
format Article
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institution Kabale University
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spelling doaj-art-6908bafc786c4ba98e0913e2a0c4691a2025-01-30T11:01:06ZengNetcom AssociationNetcom0987-60142431-210X2016-12-013023124810.4000/netcom.2529Contribution of geotagged Twitter data in the study of a social group’s activity spaceAlexandre CebeillacYves-Marie RaultSince 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.https://journals.openedition.org/netcom/2529TwitterIndiasocial mediaactivity spacesocial networking servicegeotagged data
spellingShingle Alexandre Cebeillac
Yves-Marie Rault
Contribution of geotagged Twitter data in the study of a social group’s activity space
Netcom
Twitter
India
social media
activity space
social networking service
geotagged data
title 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_short 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
topic Twitter
India
social media
activity space
social networking service
geotagged data
url https://journals.openedition.org/netcom/2529
work_keys_str_mv AT alexandrecebeillac contributionofgeotaggedtwitterdatainthestudyofasocialgroupsactivityspace
AT yvesmarierault contributionofgeotaggedtwitterdatainthestudyofasocialgroupsactivityspace