Volume 3, Issue 4 (2012)                   LRR 2012, 3(4): 25-42 | Back to browse issues page

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Aghagolzadeh F, Kheirabadi R, Golfam A, Kord-e Zafaranlu Kambuziya A. The Linguistic Model of News Composition and Selection: A Critical Discourse Analysis. LRR 2012; 3 (4) :25-42
URL: http://lrr.modares.ac.ir/article-14-4543-en.html
1- Associate Professor, Department of General Linguistics, Tarbiat Modares University, Tehran, Iran
2- M.A. Student, Department of General Linguistics, Tarbiat Modares University, Tehran, Iran
3- Associate Professor, Linguistics Department, Tarbiat Modares University, Tehran, Iran
4- Assistant Professor, Department of General Linguistics, Tarbiat Modares University, Tehran, Iran
Abstract:   (11135 Views)
Although linguists have been studying the “News” as a type of text for a long period of time, the researches have been mainly of the product-oriented types, which purely analyze the news texts and their linguistic characteristics. Linguists and media researchers have been mainly keen to determine sets of criteria known as “News Values” so far, and the result is various lists of media and linguistic news selection norms. The goal of this article is finding answer for the following questions: How news production process can be orchestrated in a linguistic model? What are the linguistic news values? and How these linguistic values correlate with other selection criteria? In addition to revisiting the theoretical notion of “News Values” and introducing the “Grice Maxims” as the linguistic criteria of news composition, this paper, as a descriptive analytical study based on field work, also represents the multi-level model of news composition and selection based on linguistically oriented findings. The mentioned model not only determines and explains different levels of news composition and selection process from the event to the news, but also puts the role of macro-structural elements of news discourse production such as ideology, relations of power and composition in the center of attention.
Full-Text [PDF 273 kb]   (3975 Downloads)    
Article Type: Research Paper | Subject: Discourse Analysis
Published: 2011/12/25

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