Allen, William (2022) Applying computational linguistic and text analysis to media content about migration. In, Salah, Albert Ali, Korkmaz, Emre Eren and Bircan, Tuba (eds.) Data Science for Migration and Mobility. 1 ed. Oxford University Press, pp. 352-365. (doi:10.5871/bacad/9780197267103.003.0016).
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 migration, asylum-seekers, and refugees spanning 1985-2015. By reporting the choices I made during these steps, as well as the contexts in which they happened, I aim to draw out both theoretical and practical lessons for researchers wanting to use computational approaches to media data involving political topics like migration—particularly, but not exclusively, from linguistic perspectives.
This record has no associated files available for download.
More information
Identifiers
Catalogue record
Export record
Altmetrics
Contributors
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.