A Critical Discourse Analysis of Linguistic Features and Ideology Covered behind Jordan Times Newspapers’ Media Reports during COVID-19 Pandemic in Jordan تحليل خطاب نقدي للسمات اللغوية والايديولوجية التي تمت تغطيتها وراء التقارير الاعلامية لصحيفة جوردان تايمز خلال جائحة كوفيد-19 في الأردن | ||||
مجلة بحوث الشرق الأوسط | ||||
Article 149, Volume 11, Issue 94 - Serial Number 12, December 2023, Page 3-25 PDF (17.26 MB) | ||||
Document Type: المقالة الأصلية | ||||
DOI: 10.21608/mercj.2022.115660.1214 | ||||
View on SCiNiTO | ||||
Author | ||||
عيسى حمد احمد الخطبا | ||||
Dept.of Languages and Translation, Faculty of Education and Arts, the University of Tabuk | ||||
Abstract | ||||
Media reports are considered as a representation of reality that reaches great numbers of people including newspapers, radio, and television. They provide people with daily and routine information about related social, economic, and political events. Therefore, languages in media reports are impersonal, objective, and neutral. Thus, this paper intends to represent a critical discourse analysis of media reports on the COVID-19 pandemic in Jordan. The data were collected from online Jordanian media reports, particularly Jordan Times newspaper concerning the reactions of Jordanian citizens during the break of the pandemic in Jordan. The theoretical framework of the study used Halliday’s (1985) Systematic Functional Grammar (SFG). This was employed to examine the linguistic features using two critical discourse analysis techniques (CDA; nominalization and passivization to unfold the practice of biased language in these media reports. Therefore, the findings of the analysis revealed that Jordan Times newspaper media reports relating to the COVID-19 pandemic break in Jordan do not continue impartial in reporting such sensitive issues. The inference for news reporters is to retain continuously their neutrality in advance while reportage any events. | ||||
Keywords | ||||
Critical Discourse Analysis; Media Reports; COVID-19; Pandemic; Jordan | ||||
Statistics Article View: 129 PDF Download: 41 |
||||