NDLI: User Review Sites as a Resource for Large-Scale Sociolinguistic Studies

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User Review Sites as a Resource for Large-Scale Sociolinguistic Studies

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User Review Sites as a Resource for Large-Scale Sociolinguistic Studies

Content Provider	ACM Digital Library
Author	Hovy, Dirk Søgaard, Anders Johannsen, Anders
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 meta-data. 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 profiles. 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.
Starting Page	452
Ending Page	461
Page Count	10
File Format	PDF
ISBN	9781450334693
DOI	10.1145/2736277.2741141
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-05-18
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Language-analysis techniques Novel applications Multi-lingual and cross- lingual analysis and mining Social science research based on social media Insights from natural-language analysis of social media
Content Type	Text
Resource Type	Article

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