Controversies in Political Ideologies: A Critical Discourse Analysis of Speeches of Indian and Pakistani Premiers on Pulwama Incident

IF 0.4 Q4 EDUCATION & EDUCATIONAL RESEARCH REGISTER Journal Pub Date : 2021-05-07 DOI:10.18326/RGT.V14I1.43-64
Muhammad Imran Shah, Saeedah Ahmad, Ali Danishs
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引用次数: 4

Abstract

Critical Discourse Analysis (CDA) is considered an effective approach to exploring a text's hidden realities. The current research analyzes the speeches of the leaders of the two states on the incident of Pulwama attack on 14th February 2019 in the region of Indian occupied Kashmir to control the minds of the audience and formulate their ideologies to achieve their political benefits through power abuse. The data has been taken from the speeches delivered by both political leaders, the Premier of Pakistan Imran Khan and the Premier of India, Narendra Modi, on Pulwama Attack. Both qualitative and quantitative research approaches have been followed to investigate the texts. For Quantitative data,  AntConc 3.5.8 has been utilized for the frequencies and concordance of the important words to be discussed. Observation has been utilized to gain in-depth information to describe qualitatively. The results show that some specific linguistic choices regarding some particular vocabulary, pronouns, and modal verbs have been used ideologically by the premiers to manipulate the language of their speeches. The study will be important for researchers who want to investigate the discourse developed by the political leaders’ speeches on the same issue. Keywords: discourse; pronoun; modality corpus; intertextuality
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政治意识形态之争——印巴总理关于普尔瓦马事件讲话的批评性话语分析
批评语篇分析(CDA)被认为是探索文本隐藏现实的有效方法。目前的研究分析了两国领导人就2019年2月14日印控克什米尔地区普尔瓦马袭击事件发表的讲话,以控制听众的思想,并制定他们的意识形态,通过滥用权力实现政治利益。数据取自巴基斯坦总理伊姆兰·汗和印度总理纳伦德拉·莫迪两位政治领导人就普尔瓦马袭击事件发表的演讲。采用定性和定量研究相结合的方法对文本进行研究。对于定量数据,AntConc 3.5.8已用于讨论重要单词的频率和一致性。观察已经被用来获得深入的信息来定性描述。结果表明,总理们在意识形态上使用了一些特定的语言选择,如词汇、代词和情态动词,来操纵他们的演讲语言。这项研究对于想要调查政治领导人在同一问题上的演讲所形成的话语的研究人员来说将是重要的。关键词:话语;代词模态语料库;互文性
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来源期刊
REGISTER Journal
REGISTER Journal Multiple-
自引率
4.80%
发文量
2
审稿时长
28 weeks
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