Please use this identifier to cite or link to this item: https://cris.library.msu.ac.zw//handle/11408/1592
Title: Arguments for an appraisal linguistic discourse approach to the analysis of `objectivity' in 'hard' news reports
Authors: Sabao, Collen
Keywords: Appraisal, Bias, Hard news, Discourse-Linguistic, Objectivity, Reporter voice
Issue Date: 2016
Publisher: Taylor & Francis (Routledge)
Series/Report no.: African Journalism Studies;Vol.37, No.1; p. 40-63
Abstract: Studies focusing on the ideal of 'objectivity' in *hard' news reports are numerous, with most of them within journalistic studies and theorised from diverse theoretical insights. This article departs from journalistic to a linguistic discourse approach-presenting evidence that the linguistic discourse analytical framework of Appraisal Theory provides alternative ways of analysing 'objectivity' and ideological bias in 'hard' news reports. Couched in Systemic Functional Linguistics (SFL) Appraisal is a model that explains the way(s) in which language construes attitude and enables writers and speakers to position themselves evaluatively with respect the viewpoints of potential respondents and other speakers/writers (White, 2007: Thomson. White and Kitley, 2008). The paper argues that the analysis of the construction of journalistic reality can also be adequately done from a linguistic perspective, specifically from analysing how lexical choices journalists make betray their ideological positioning both in terms of the content as well as context of the news report. In discussing this, the paper comparatively analyses two news reports in two Zimbabwean newspapers on the death of Retired General Solomon Mujuru.
URI: http://hdl.handle.net/11408/1592
ISSN: 2374-3670
Appears in Collections:Research Papers

Files in This Item:
File Description SizeFormat 
Arguments for an appraisal linguistic discourse approach to the analysis of.pdfAbstract3.52 kBAdobe PDFThumbnail
View/Open
Show full item record

Page view(s)

44
checked on Nov 22, 2024

Download(s)

2
checked on Nov 22, 2024

Google ScholarTM

Check


Items in MSUIR are protected by copyright, with all rights reserved, unless otherwise indicated.