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Optimising transparency, reliability and replicability: Annotation principles and inter-coder agreement in the quantification of evaluative expressions
Lund University.
Linnaeus University, Faculty of Arts and Humanities, Department of Languages.
2015 (English)In: Corpora, ISSN 1749-5032, E-ISSN 1755-1676, Vol. 10, no 3, 315-349 p.Article in journal (Refereed) Published
Abstract [en]

Manual corpus annotation facilitates exhaustive and detailed corpus-based analyses of evaluation that would not be possible with purely automatic techniques. However, manual annotation is a complex and subjective process. Most studies adopting this approach have paid insufficient attention to the methodological challenges involved in manually annotating evaluation – especially concerning transparency, reliability and replicability. This article illustrates a procedure for annotating evaluative expressions in text that facilitates more transparent, reliable and replicable analyses. The method is demonstrated through a case study analysis of appraisal (Martin and White, 2005) in a small-size specialised corpus of CEO letters published by the British energy company, BP, and four competitors before and after the Deepwater Horizon oil spill of 2010. Drawing on Fuoli and Paradis's (2014) model of trust–repair discourse, we examine how attitude and engagement resources are strategically deployed by BP's CEO in the attempt to repair stakeholders’ trust after the accident.

Place, publisher, year, edition, pages
Edinburgh University Press, 2015. Vol. 10, no 3, 315-349 p.
National Category
General Language Studies and Linguistics
Identifiers
URN: urn:nbn:se:lnu:diva-39040DOI: 10.3366/cor.2015.0080ISI: 000364637700004OAI: oai:DiVA.org:lnu-39040DiVA: diva2:780107
Available from: 2015-01-13 Created: 2015-01-13 Last updated: 2016-09-23Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf