Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/31715
Title: Using corpus linguistic software in the extraction of news frames: towards a dynamic process of frame analysis in journalistic texts
Authors: Touri, Maria
Koteyko, Nelya
First Published: 3-Jul-2014
Publisher: Taylor & Francis (Routledge), Social Research Association
Citation: Maria Touri & Nelya Koteyko (2014): Using corpus linguistic software in the extraction of news frames: towards a dynamic process of frame analysis in journalistic texts, International Journal of Social Research Methodology
Abstract: The article seeks to demonstrate the contribution that corpus linguistic software can make in news frame analysis and how it can help address some of the methodological challenges in the extraction of news frames. With the employment of corpus linguistic software WordSmith, the study conducts an inductive frame analysis of the UK press coverage of the Greek financial crisis, in which it combines principles of qualitative and quantitative analytical approaches. The findings demonstrate that, by integrating a statistical measuring mechanism in a qualitative analytical approach, corpus linguistic techniques can offer a systematic connection of stylistic and ideological features of news content and a more reliable identification of the loci for frames. Such techniques can also allow a better approximation of the unconscious level of frame construction. This can lead to a more efficient identification of frames that exhibit deeper cultural values and are more likely to shape the receivers’ interpretations.
DOI Link: 10.1080/13645579.2014.929878
ISSN: 1364-5579
eISSN: 1464-5300
Links: http://www.tandfonline.com/doi/abs/10.1080/13645579.2014.929878
http://hdl.handle.net/2381/31715
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Archived with reference to SHERPA/RoMEO and publisher website. The Version of Record of this manuscript has been published and is available in International Journal of Social Research Methodology 2014 http://www.tandfonline.com/doi/abs/10.1080/13645579.2014.929878
Appears in Collections:Published Articles, Dept. of Media and Communication

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