Chapter published in:
Representing the Other in European Media DiscoursesEdited by Jan Chovanec and Katarzyna Molek-Kozakowska
[Discourse Approaches to Politics, Society and Culture 74] 2017
► pp. 55–80
Chapter 2Togetherness or othering?
community and comunità in the UK and Italian press
This chapter addresses the theme of othering by reporting on preliminary work from a European project aimed at building a dictionary of migration discourse keywords. The chapter investigates the use of the terms COMMUNITY and comunità in two British and Italian newspapers (Guardian, Times, Repubblica, Corriere della Sera) using corpus-assisted discourse analysis. In the first stage, it shows how these terms are interpreted as keywords of migration discourse. In the second, it examines the evaluative weighting of these lexical items. Contrary to previous work (e.g. Williams, 1983; Gallissot, 2007), it is shown here that the terms COMMUNITY and comunità are actually used as part of a pattern of othering, when employed in the context of migration discourse.
Keywords: migration discourse, discourse keywords, media discourse, corpus-assisted discourse analysis
Article outline
- 1.Introduction
- 1.1Discourse keywords
- 1.2Previous research into community and comunità
- 2.Methodology
- 2.1A corpus-assisted discourse studies approach
- 2.2Corpora and tools
- 2.2.1Corpora
- 2.2.2Corpus tools
- 3.
community and comunità as discourse keywords of migration
- 3.1Peaks in use
- 3.2Association with migration-related terms
- 3.3Meta-discussion of community and comunità
- 4.Collocational analysis of community and comunità
- 4.1 Community identities: Minority groups
- 4.2United and/or isolated?
- 4.3Counting communities
- 4.4Established communities
- 4.5Countering the corroboration drive: Are we a community?
- 4.5.1British and Italian
- 4.5.2Our community
- 4.6 Communities and societies
- 5.Conclusions
-
Notes -
References
Published online: 23 November 2017
https://doi.org/10.1075/dapsac.74.03tay
https://doi.org/10.1075/dapsac.74.03tay
References
References
Baker, Paul, Costas Gabrielatos and Tony McEnery
Bogetić, Ksenia
Durant, Alan
Freake, Rachelle, Guillaume Gentil and Jaffer Sheyholislami
Gabrielatos, Costas
forthcoming). Keyness analysis: nature, metric and techniques. In Taylor, Charlotte and Anna Marchi eds. Corpus Approaches to Discourse: A critical review London Routledge
Gallissot, René, Mondher Kilani and Annamaria Rivera
Hardie, Andrew
(2012) CQPweb – combining power, flexibility and usability in a corpus analysis tool. International Journal of Corpus Linguistics 17 (3), 380–409.
Jakubíček, Miloš, Adam Kilgarriff, Vojtěch Kovář, Pavel Rychlý and Vít Suchomel
(2013) The TenTen Corpus Family. Paper presented at Corpus Linguistics Conference July 2013, Lancaster.
Jeffries, Lesley and Brian Walker
Kilgarriff, Adam, Pavel Rychlý, Pavel Smrž and David Tugwell
(2004) The Sketch Engine. Proceedings of EURALEX 2004, Lorient, France; pp. 105–116. http://www.sketchengine.co.uk
Krishnamurthy, Ramesh
Lexical Computing
(2014) Statistics used in the Sketch Engine. July 22 2014, available from https://www.sketchengine.co.uk/documentation/raw-attachment/wiki/SkE/DocsIndex/ske-stat.pdf.
Louw, Bill
Marchi, Anna and Charlotte Taylor
Mautner, Gerlinde
(1995) (published under the name of “Hardt-Mautner”) Only connect: Critical discourse analysis and corpus linguistics, UCREL Technical Paper 6. Lancaster: University of Lancaster. Available at http://ucrel.lancs.ac.uk/tech_papers.html
McEnery, Tony and Andrew Hardie
Morley, John and Alan Partington
Murphy, Amanda C.
O’Halloran, Kay
Partington, Alan
Partington, Alan, Alison Duguid and Charlotte Taylor
Schröter, Melani and Marie Veniard
Schröter, Melani and Petra Storjohann
Scott, Mike and Christopher Tribble
Stubbs, Michael
Taylor, Charlotte
Vessey, Rachelle
Cited by
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Bednarek, Monika & Stefan Th. Gries
Kaunert, Christian, Joana de Deus Pereira & Mike Edwards
Schröter, Melani, Marie Veniard, Charlotte Taylor & Andreas Blätte
Taylor, Charlotte & Dario del Fante*
This list is based on CrossRef data as of 31 march 2022. 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.