Mapping urban linguistic diversity with social media and population register data

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Väisänen , T L A , Järv , O , Toivonen , T & Hiippala , T 2022 , ' Mapping urban linguistic diversity with social media and population register data ' , Computers, Environment and Urban Systems , vol. 97 , 101857 .

Title: Mapping urban linguistic diversity with social media and population register data
Author: Väisänen, Tuomas Lauri Aleksanteri; Järv, Olle; Toivonen, Tuuli; Hiippala, Tuomo
Contributor organization: Department of Geosciences and Geography
Helsinki Institute of Urban and Regional Studies (Urbaria)
Helsinki Institute of Sustainability Science (HELSUS)
Digital Geography Lab
Department of Languages
Date: 2022
Language: eng
Number of pages: 20
Belongs to series: Computers, Environment and Urban Systems
ISSN: 0198-9715
Abstract: Globalization, urbanization and international mobility have led to increasingly diverse urban populations. Compared to traditional traits for measuring urban diversity, such as ethnicity and country of origin, the role of language remains underexplored in understanding diversity, interactions between different groups and socio-spatial segregation. In this article, we analyse language use in the Helsinki Metropolitan Area by combining individual-level register data, socio-economic grid database, mobile phone and social media data to understand spatio-temporal patterns of linguistic diversity better. We measured linguistic diversity using metrics developed in the fields of ecology and information theory, and performed spatial clustering and regression analyses to explore the spatio-temporal patterns of linguistic diversity. We found spatial and temporal differences between register and social media data, show that linguistic diversity is influenced by the physical and socio-economic environment, and identified areas where different linguistic groups are likely to interact. Our results provide insights for urban planning and understanding urban diversity through linguistic information. As global urbanization, international migration and refugee flows and climate change drive diverse populations into cities, understanding urban diversity and its implications for urban planning and sustainability become increasingly important.
Subject: 1171 Geosciences
Sosiaalinen media
Big data
Social media data
Urban Geography
6121 Languages
linguistic landscape
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion
Funder: Emil Aaltosen Säätiö
Grant number:

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