User review sites as a resource for large-scale sociolinguistic studies

Dirk Hovy; Anders Trærup Johannsen; Anders Søgaard

User review sites as a resource for large-scale sociolinguistic studies

Dirk Hovy, Anders Trærup Johannsen, Anders Søgaard

LUKKET: Center for Sprogteknologi

31 Citationer (Scopus)

Abstract

Sociolinguistic studies investigate the relation between language and extra-linguistic variables. This requires both representative text data and the associated socio-economic meta-data of the subjects. Traditionally, sociolinguistic studies use small samples of hand-curated data and metadata. This can lead to exaggerated or false conclusions. Using social media data offers a large-scale source of language data, but usually lacks reliable socio-economic meta-data. Our research aims to remedy both problems by exploring a large new data source, international review websites with user proffles. They provide more text data than manually collected studies, and more meta-data than most available social media text. We describe the data and present various pilot studies, illustrating the usefulness of this resource for sociolinguistic studies. Our approach can help generate new research hypotheses based on data-driven findings across several countries and languages.

Originalsprog	Engelsk
Titel	WWW 2015 Proceedings
Antal sider	10
Forlag	Association for Computing Machinery
Publikationsdato	18 maj 2015
Sider	452-461
ISBN (Trykt)	978-1-4503-3469-3
Status	Udgivet - 18 maj 2015

Citationsformater

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AB - Sociolinguistic studies investigate the relation between language and extra-linguistic variables. This requires both representative text data and the associated socio-economic meta-data of the subjects. Traditionally, sociolinguistic studies use small samples of hand-curated data and metadata. This can lead to exaggerated or false conclusions. Using social media data offers a large-scale source of language data, but usually lacks reliable socio-economic meta-data. Our research aims to remedy both problems by exploring a large new data source, international review websites with user proffles. They provide more text data than manually collected studies, and more meta-data than most available social media text. We describe the data and present various pilot studies, illustrating the usefulness of this resource for sociolinguistic studies. Our approach can help generate new research hypotheses based on data-driven findings across several countries and languages.

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User review sites as a resource for large-scale sociolinguistic studies

Abstract

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Citationsformater