Keywords
Signposts to objectivity?
This chapter focuses on describing, illustrating and critiquing the keywords technique, which is used to automatically identify lexical salience when comparing multiple corpora. Arguably, keywords present researchers with words that they may not have chosen to analyse in advance, thus helping to reduce researcher subjectivity. I illustrate how the identification of keywords enables researchers to embark on interesting research journeys, through examples taken from an analysis of the representation of Islam and Muslims in a corpus of British newspaper articles. However, when using large corpora, even with high cut-off points for statistical salience, hundreds of keywords may be produced, meaning that researchers need to make decisions regarding which words are worthy of detailed focus. The chapter ends with an illustrative analysis where I revisit six of my own keyword studies, arguing that researchers should consider the benefits of giving a more reflexive account of their own decision making procedures around keywords.
Article outline
- 1.Introduction
- 2.Keywords
- 3.The keyword Moslem
- 4.Reflexivity and keywords
- 5.Conclusion
-
Notes
-
References
References (22)
References
Baker, P. 2005. Public Discourses of Gay Men. London: Routledge.
Baker, P. 2006. Using Corpora to Analyse Discourse. London: Continuum.
Baker, P. 2012. Acceptable bias? Using corpus linguistics methods with critical discourse analysis. Critical Discourse Studies 9(3): 247–256.
Baker, P., Gabrielatos, G. & McEnery, T. 2013. Discourse Analysis and Media Bias: The Representation of Islam in the British Press. Cambridge: CUP.
Baker, P. & Love, R. 2015. The hate that dare not speak its name? Journal of Language, Aggression and Conflict 2(2): 57–86.
Baxter, J. 2003. Positioning Gender in Discourse: A Feminist Methodology. Houndmills: Palgrave Macmillan.
Code, L. 1991. What Can She Know?: Feminist Theory and the Construction of Knowledge. Ithica NY: Cornell University Press.
Eichler, M. 1991. Non-sexist Research Methods: A Practical Guide. London: Routledge.
Gabrielatos, C. & Baker, P. 2008. Fleeing, sneaking, flooding: A corpus analysis of discursive constructions of refugees and asylum seekers in the UK Press 1996–2005. Journal of English Linguistics 36(1): 5–38.
Gabrielatos, C. & Marchi, A. 2012. Keyness: Appropriate metrics and practical issues. Paper presented at CADS International Conference 2012, 13–14 September, University of Bologna Italy.
Hardie, A. 2014. Statistical identification of keywords, lockwords and collocations as a two step procedure. Paper presented at ICAME 35 Conference 30 April – 4 May, University of Nottingham.
Marchi, A. & Taylor, C. 2009. If on a winter’s night two researchers… A challenge to assumptions of soundness of interpretation. Critical Approaches to Discourse Analysis Across Disciplines 3(1): 1–20.
Marchi, A. & Taylor, C. 2013. Experimenting with objectivity in corpus and discourse studies: Expectations about LGBT discourse and a game of mutual falsification and reflexivity. Paper presented at Corpus Linguistics Conference July 23, 2013, Lancaster University.
McEnery, T. 2006. Swearing in English: Bad Language, Purity and Power from 1586 to the Present. London: Routledge.
Scott, M. 2008. WordSmith Tools, version 5. Liverpool: Lexical Analysis Software.
Scott, M. 2009. In search of a bad reference corpus. In What’s in a Word List?, D. Archer (ed.), 79–92. London: Ashgate.
Wilson, A. & Thomas, J. 1997. Semantic annotation. In Corpus Annotation: Linguistic Information from Computer Texts, R. Garside, G. Leech & A. McEnery (eds), 55–65. London: Longman.
Cited by (3)
Cited by three other publications
Boucher, Abigail, Marcello Giovanelli, Chloe Harrison, Robbie Love & Caroline Godfrey
2024.
Reading as a Coping Strategy. In
Reading Habits in the COVID-19 Pandemic,
► pp. 63 ff.
Boucher, Abigail, Marcello Giovanelli, Chloe Harrison, Robbie Love & Caroline Godfrey
2024.
Introduction. In
Reading Habits in the COVID-19 Pandemic,
► pp. 1 ff.
McGlashan, Mark & Alexandra Krendel
This list is based on CrossRef data as of 23 september 2024. 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.