Article published In: Corpus studies of language through time: Special issue of the International Journal of Corpus Linguistics 27:4 (2022)
Edited by Tony McEnery, Gavin Brookes and Isobelle Clarke
[International Journal of Corpus Linguistics 27:4] 2022
► pp. 399–427
Keywords through time
Tracking changes in press discourses of Islam
Available under the Creative Commons Attribution (CC BY) 4.0 license.
For any use beyond this license, please contact the publisher at rights@benjamins.nl.
Open Access publication of this article was funded through a Transformative Agreement with Lancaster University.
Published online: 29 August 2022
https://doi.org/10.1075/ijcl.22011.cla
https://doi.org/10.1075/ijcl.22011.cla
Abstract
This paper applies a new approach to the identification of discourses, based on Multiple Correspondence Analysis (MCA), to the study of discourse variation over time. The MCA approach to keywords deals with a major issue with the use of keywords to identify discourses: the allocation of individual keywords to multiple discourses. Yet, as this paper demonstrates, the approach also allows us to observe variation in the prevalence of discourses over time. The MCA approach to keywords allows the allocation of individual texts to multiple discourses based on patterns of keyword co-occurrence. Metadata in the corpus data analysed (here, UK newspaper articles about Islam) can then be used to map those discourses over time, resulting in a clear view of how the discourses vary relative to one another as time progresses. The paper argues that the drivers for these fluctuations are language external; the real-world events reported on in the newspapers.
Article outline
- 1.Introduction
- 2.Islam in the press: Change over time
- 3.Keywords and time
- 4.Data and approach
- 4.1The corpus
- 4.2The MCA approach to keywords
- 4.3Using keyword co-occurrence to explore changing discourse through time
- 5.Results
- 5.1Dimension 2: War, terrorism, and conflict vs. everyday life
- 5.2Dimension 3: Foreign affairs vs. domestic affairs
- 5.3Dimension 4: Western political conflict vs. overseas conflict
- 5.4Dimension 5: UK vs. US policy
- 5.5Dimension 6: Globalisation vs. tribalism
- 5.6Dimension 7: Corruption and human rights vs. the aftermath of terror attacks
- 5.7Dimension 8: The rise of the far-right vs. rhe radicalisation of Muslims
- 5.8Dimension 9: Political processes related to elections vs. security threats
- 5.9Broad trends influencing multiple dimensions
- 6.Conclusion
- Notes
References
References (23)
Baker, P. (2004). Querying keywords: Questions of difference, frequency, and sense in keywords analysis. Journal of English Linguistics, 32(4), 346–359.
Baker, P., Brookes, G., Atanasova, D., & Flint, S. (2020). Changing frames of obesity in the UK press 2008–2017. Social Science and Medicine, 2641: 113403.
Baker, P., Gabrielatos, C., & McEnery, T. (2013). Discourse Analysis and Media Attitudes: The Representation of Islam in the British Press. Cambridge University Press.
Baker, P., & McEnery, T. (2019). The value of revisiting and extending previous studies: The case of Islam in the UK press. In R. Scholz (Ed.), Quantifying Approaches to Discourse for Social Scientists (pp. 215–249). Palgrave Macmillan.
Benzécri, J. P. (1979). Sur le calcul des taux d’inertie dans l’analyse d’un questionnaire [On the calculation of rates of inertia in the analysis of a questionnaire]. Cahiers de l’Analyse des Données, 4(3) 377–378.
Brookes, G., & Baker, P. (2021). Obesity in the News: Language and Representation in the Press. Cambridge University Press.
Clarke, I. (2019). Functional linguistic variation in Twitter trolling. International Journal of Speech Language and the Law, 26(1), 57–84.
Clarke, I., McEnery, T., & Brookes, G. (2021). Multiple Correspondence Analysis, newspaper discourse and subregister: A case study of discourses of Islam in the British Press. Register Studies, 3(1), 144–171.
Dunning, T. (1993). Accurate methods for the statistics of surprise and coincidence. Computational Linguistics, 19(1), 61–74.
Egbert, J. & Biber, D. (2019). Incorporating text dispersion into keyword analyses. Corpora, 14(1), 77–104.
Gabrielatos, C. (2018). Keyness analysis: Nature, metrics and techniques. In C. Taylor & A. Marchi (Eds.), Corpus Approaches to Discourse: A Critical Review (pp. 225–258). Routledge.
Gabrielatos, C., McEnery, T., Diggle, P., & Baker, P. (2012). The peaks and troughs of corpus-based contextual analysis. International Journal of Corpus Linguistics, 17(2), 151–175.
Husson, F., Josse, J., Le, S., & Mazet, J. (2020). FactoMineR: Multivariate Exploratory Data Analysis and Data Mining (Version 2.4). [URL]
Marchi, A. (2018). Dividing up the data: Epistemological, methodological and practical impact of diachronic segmentation. In C. Taylor & A. Marchi (Eds.), Corpus Approaches to Discourse: A Critical Review (pp. 174–196). Routledge.
Partington, A. (2010). Modern Diachronic Corpus-Assisted Discourse Studies (MD-CADS) on UK newspapers: An overview of the project. Corpora, 5(2), 83–108.
Partington, A., Duguid, A., & Taylor, C. (2013). Patterns and Meanings in Discourse: Theory and Practice in Corpus-assisted Discourse Studies (CADS). John Benjamins.
R Core Team. (2020). R: A language and environment for statistical computing (Version 4.0.3) [Computer software]. R Foundation for Statistical Computing. [URL]
Richardson, J. E. (2004). (Mis)Representing Islam: The Racism and Rhetoric of British Broadsheet Newspapers. John Benjamins.
Cited by (11)
Cited by 11 other publications
Claridge, Claudia
2025. Introduction. In News with an Attitude [Discourse Approaches to Politics, Society and Culture, 105], ► pp. 1 ff.
Pojanapunya, Punjaporn
Sha, Yuze & Isobelle Clarke
Wang, Ying
Wen, Zhihan, Ming Liu & Changpeng Huan
Gee, Matt, Andrew Kehoe & Antoinette Renouf
2024. Establishing a ‘new normal’. In Crossing Boundaries through Corpora [Studies in Corpus Linguistics, 119], ► pp. 125 ff.
Brookes, Gavin, Tony McEnery & Isobelle Clarke
This list is based on CrossRef data as of 12 december 2025. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.
