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Applying computational linguistic and text analysis to media content about migration: opportunities and challenges for social scientific domains

Abstract:

As larger and more varied datasets on socially and political relevant issues have become available to researchers, computational methods that aim to make sense of them have also proliferated. In response, social scientists need to critically reflect on and take stock of the opportunities and challenges presented by these shifts. This chapter draws upon on a series of projects that involved collecting, analysing, and communicating results from a large corpus of British newspaper texts about mi...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
SSD
Department:
Politics & Int Relations
Role:
Author
ORCID:
0000-0003-3185-1468

Contributors

Role:
Editor
Institution:
University of Oxford
Division:
SSD
Department:
International Development
Role:
Editor
Role:
Editor
Publisher:
Oxford University Press
Host title:
Data Science for Migration and Mobility
Series:
Proceedings of the British Academy
Series number:
251
Chapter number:
16
Pages:
352-365
Place of publication:
Oxford
Publication date:
2022-11-10
ISBN:
9780197267103
Language:
English
Keywords:
Subtype:
Chapter
Pubs id:
1319699
Local pid:
pubs:1319699
Deposit date:
2023-01-12

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