Grammatical Analysis of Pakistani Online Newspapers’ Representation: Comparison through Transitivity Analysis

Kazmi, Saira, Santosa, Riyadi and Rakhmawati, Deny Efita Nur ORCID: https://orcid.org/0000-0003-0279-9939 (2023) Grammatical Analysis of Pakistani Online Newspapers’ Representation: Comparison through Transitivity Analysis. Argentinian Journal of Applied Linguistics: Grammatical Analysis of Pakistani Online Newspapers’ Representation: Comparison through Transitivity Analysis. pp. 14-30. ISSN 2314-3576

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Abstract

This study aimed to identify ideological bias behind two newspapers’ representation of the official visit to the US of former Prime Minister Imran Khan (21st to 24th July 2019), a visit which aimed to revive bilateral relations between the US and Pakistan. Data was collected from a mainstream newspaper, The News, and from an alternative one, Dawn. 11,734 words from eleven (11) news reports were analyzed in terms of transitivity (Halliday and Matthiessen, 2014) to interrogate the ‘context of culture’ and the ‘context of situation’ (Fairclough, 1995). The analysis of the data revealed that Imran Khan was chosen as a 'doer' in the ‘Sayer’ role under the 'Verbiage' participant role (van Leeuwen, 2005). Dawn portrayed Khan as the actor 53% of the time, while The News did so 44 % of the time, which can be said to communicate the newspapers’ ideological perspectives.

Item Type:	Journal Article
Keywords:	Online Hard News, Critical Discourse Analysis (CDA), Systemic Functional Linguistics (SFL), Semiotic Analysis, Transitivity Analysis
Subjects:	20 LANGUAGE, COMMUNICATION AND CULTURE > 2004 Linguistics > 200403 Discourse and Pragmatics 20 LANGUAGE, COMMUNICATION AND CULTURE > 2004 Linguistics
Divisions:	Faculty of Humanities > Department of English Language and Letters
Depositing User:	ms deny efita nur rakhmawati
Date Deposited:	10 Jun 2024 08:38

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