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Language choice and gender in a Nordic social media corpus

Published online by Cambridge University Press:  15 July 2019

Steven Coats
Steven Coats*
Affiliation:
English Philology, Faculty of Humanities, University of Oulu, 90014 Oulu, Finland.
*
Email for correspondence: [email protected]
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Abstract

This study analyzes language choice, bi- and multilingualism, and gender in a corpus of over 22 million Twitter messages by almost 36,000 authors from the Nordic countries and territories. Author location, gender, and tweet language are identified using a novel method. Three principal findings are discussed: First, gendered preference for particular languages in the Nordics can be explained in part by patterns of gendered migration. Second, a distinct geographical pattern of female/male preference for the national languages of the region and for English is evident for users who are likely native users of a Nordic language: Females are more likely to use English, while males are more likely to use a Nordic language. Third, while high rates of bi- and multilingualism are found across the whole sample, males are more likely to use more than one language in all the Nordic countries/territories. The latter two findings are interpreted in light of sociolinguistic considerations as evidence for incipient language shift towards English for Nordic users on the Twitter platform.

Keywords

bilingualismcomputer-mediated communicationlanguage and genderlinguistic diversitymultilingualismsocial mediaTwitter
Type
Research Article
Information
Nordic Journal of Linguistics , Volume 42 , Issue 1 , May 2019 , pp. 31 - 55
Copyright
© Nordic Association of Linguistics 2019 

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