Contribution of geotagged Twitter data in the study of a social group’s activity space
Autor: | Yves-Marie Rault, Alexandre Cebeillac |
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Rok vydání: | 2016 |
Předmět: |
History
Middle class business.industry media_common.quotation_subject 0211 other engineering and technologies Media studies Sample (statistics) Qualitative property 02 engineering and technology Space (commercial competition) Representativeness heuristic Computer Science Applications Education Social group Geography 020204 information systems 0202 electrical engineering electronic engineering information engineering Social media Lower middle class Telecommunications business 021101 geological & geomatics engineering media_common |
Zdroj: | Netcom. :231-248 |
ISSN: | 2431-210X 0987-6014 |
DOI: | 10.4000/netcom.2529 |
Popis: | 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. |
Databáze: | OpenAIRE |
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