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Siena English Language and Linguistics Seminars (SELLS), University of Siena, 9 November 2009 Corpus-based methodology and critical discourse studies Context, content, computation Costas Gabrielatos Lancaster University Main criticisms of CL


  1. Siena English Language and Linguistics Seminars (SELLS), University of Siena, 9 November 2009 Corpus-based methodology and critical discourse studies Context, content, computation Costas Gabrielatos Lancaster University

  2. Main criticisms of CL CL does not take account of the relevant context CL does not examine sufficient amount of (co-)text lists of words (frequency, keywords, collocates) short concordance lines Also Nature / definition of CL Objectivity – Subjectivity Replicability (see also Marchi & Taylor, forthcoming; Partington, 2009; Taylor, 2008)

  3. Projects Current: The representation of Islam and Muslims in the UK press, 1998-2008 . ESRC. Sept. 2009 – Aug. 2010. • PI: Paul Baker; CI: Tony McEnery; RA: Costas Gabrielatos. • Corpus: 200,000 articles; 140 million words (and counting) Completed: Discourses of refugees and asylum seekers in the UK press, 1996-2006 . ESRC. Oct. 2005 – March 2007. • PI: Paul Baker; CIs: Tony McEnery, Ruth Wodak; RAs: Costas Gabrielatos (CL), Majid KhosraviNik (CDA), Michal Krzyzanowski (CDA). • Corpus: 175,000 articles; 140 million words • http://ucrel.lancs.ac.uk/projects/rasim/

  4. CL does not take account of the relevant context CL researchers have no less access to sources of relevant contextual information than CDS researchers. A non-linguistic quantitative analysis of a corpus reveals patterns which ... … pinpoint periods/sources/texts that can be usefully examined in detail. … uncover helpful contextual elements.

  5. Revealing contextual elements 1: Reaction to trigger events Islam Corpus Query • Alah OR Allah OR ayatolah OR ayatollah OR burka* OR burqa* OR chador* OR fatwa* OR hejab* OR imam* OR islam* OR Koran OR Mecca OR Medina OR Mohammedan* OR Moslem* OR Muslim* OR mosque OR mufti* OR mujaheddin* OR mujahedin* OR mullah* OR muslim* OR Prophet Mohammed OR Q'uran OR rupoush OR rupush OR sharia OR shari'a OR shia! OR shi-ite* OR Shi'ite* OR sunni* OR the Prophet OR wahabi OR yashmak* AND NOT Islamabad AND NOT shiatsu AND NOT sunnily • Graph depicting number of articles per month • Establishing events coinciding with / triggering spikes. • Extent of change in number of articles due to trigger events. – UK press – Individual newspapers

  6. National UK newspapers: average number of articles /month 350 9/11 7/7 300 Veil 250 C2 Iraq 2 Bali Madrid C Iraq 200 Somalia invasion 150 100 50 0 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

  7. Is the general picture representative of all newspapers?

  8. Yes No • Four s pikes shared by • 19 spikes collectively – only 5 at least two-thirds of shared by more than half! the 12 newspapers: • Different relative importance – 9/11, 7/7: 12 of primary and/or secondary – Veil + Cartoons 2: 11 spikes – Bali bombings + Cartoons: 9 • Five groups in terms of • All newspapers but one primary spikes: show an upward trend. – 9/11 & 7/7 – 9/11 – 7/7 + other – Other + 9/11 & 7/7 – Other

  9. 9/11 & 7/7 3 newspapers

  10. Guardian 7/7 450 9/11 400 Iran Veil Elect. Bali C 2 C O 350 Iraq in T inv. 300 250 200 150 100 50 0 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

  11. Independent 9/11 7/7 700 Veil 650 C2 600 550 Iraq 500 inv. 450 Bali C 400 350 300 250 200 150 100 50 0 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

  12. Mirror 7/7 450 9/11 400 350 300 Bali 250 C Iraq Veil inv. C2 200 150 100 50 0 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

  13. 9/11 4 newspapers

  14. Business 22 9/11 20 18 Phil. 16 Indon. Phil. 14 7/7 12 Bali C Veil 10 C 2 8 6 4 2 0 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

  15. Telegraph 9/11 600 550 500 450 7/7 400 Veil C 2 350 300 250 200 150 100 50 0 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

  16. Times 9/11 850 800 750 700 650 Iran 600 elect. 7/7 550 Iraq 500 inv. Veil 450 C2 400 Bali C 350 300 250 200 150 100 50 0 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

  17. People 40 9/11 35 Bali Iraq 30 7/7 C inv. 25 Madrid Somalia Iraq2 20 15 10 5 0 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

  18. 7/7 + other 2 newspapers

  19. Express 7/7 300 Veil C 2 250 Bali Iraq 2 9/11 C Madrid 200 150 100 50 0 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

  20. Observer 200 7/7 Veil C C2 protests 9/11 150 Flogging Iraq Thailand inv. Somalia Archbi shop 100 50 0 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

  21. Other + 9/11 & 7/7 2 newspapers

  22. Mail 350 Veil C2 ??? 300 7/7 9/11 C protests 250 200 Bali C 150 100 50 0 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

  23. Sun Veil C2 300 7/7 250 9/11 O in T ??? Iran C elect. protests 200 Archbi Iraq shop ??? inv. 150 100 50 0 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

  24. Other 1 newspaper

  25. Star 350 ??? 300 ??? 250 200 Somalia Veil 150 7/7 C2 9/11 Bali 100 C 50 0 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

  26. Can we measure a newspaper’s response to a given trigger event?

  27. Change in number of topic-related articles Trigger event: 9/11 Diff. % of number of articles Reaction Sustain The extent to which the number The extent to which the change of articles changed immediately was sustained a year after the after a trigger event trigger event Average of 12 months pre-9/11 Average of 12 months pre-9/11 9/11 spike (avg. Sept.-Oct. 2001) Average of 12 months post-9/11

  28. 9/11 and Islam/Muslims: Reaction and Sustain 850 Sun 800 750 700 650 Reaction : Diff.% pre-spike 12 vs. 9/11 spike 600 Mirror Star 550 People 500 450 400 Mail Telegraph Express 350 Times 300 Independent 250 Business Guardian 200 Observer 150 100 50 0 -50 0 50 100 150 200 250 Sustain : Diff.% pre-spike 12 vs. post-spike 12

  29. What about the broadsheets-tabloids distinction?

  30. 9/11, reaction and sustain: clusters

  31. 9/11, reaction and sustain: clusters

  32. 9/11, reaction and sustain: clusters

  33. 9/11, reaction and sustain: clusters

  34. 9/11, reaction and sustain: clusters

  35. Revealing contextual elements 2: Use of loaded terms RASIM Corpus Query • refugee OR asylum OR deport* OR immigr* OR emigr* OR migrant* OR illegal alien* OR illegal entry OR leave to remain AND NOT deportivo AND NOT deportment (see Gabrielatos, 2007) Nonsensical (= loaded) terms illegal/legal refugee*/asylum seeker* bogus/genuine immigrant*/migrant* definitions • Which newspapers use them? • How frequently? – Per million words – Per thousand articles (see also Baker et al., 2008)

  36. Definitions Longman Dictionary of Contemporary Refugee Council English (2003) Someone whose asylum application has Someone who has been forced to leave been successful and who is allowed to stay refugee their country, especially during a war, or for in another country having proved they political or religious reasons. would face persecution back home. Someone who leaves their own country Someone who has fled persecution in their because they are in danger , especially for homeland, has arrived in another country, asylum political reasons, and who asks the made themselves known to the authorities seeker government of another country to allow and exercised the legal right to apply for them to live there. asylum . Someone who enters another country to immigrant ----- live there permanently . Someone who goes to live in another area [ economic migrant ] Someone who has migrant or country, especially in order to find work . moved to another country to work . International Association for the Study of Forced Migration Forced migration : refugees and asylum seekers Voluntary migration : immigrants and (economic) migrants back

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