Abstract
The aim of this article is to illustrate how highly rudimentary computer-assisted text analysis can aid the preliminary mapping of public discourse. The case that has been chosen is the use of a particular combination of words, ‘radical’ and ‘Muslim’, in a corpus of articles published in the Swedish printed news media which have been accessed through the database Mediearkivet. Texts in the corpus were accessed and analysed using custom-made code in the programming language Python. The article shows how even limited skills in computer-assisted methods can aid scholars in discovering patterns and trends in a large collection of texts which is difficult, if not impossible, to process manually.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
