Ideological representation on CNN online news of Russia Ukraine conflict

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Sari, Eka Suciati Riski Laila (2023) Ideological representation on CNN online news of Russia Ukraine conflict. Undergraduate thesis, UIN Sunan Ampel Surabaya.

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Abstract

This thesis aims to reveal the ideological representation of media bias in the online news published by CNN International. The ideology of media bias is identified through the theory of transitivity by Halliday. The researcher selected six online news published on February 24, 2022, as research data with limited news focusing on the Russia – Ukraine conflict. The researcher used the CDA approach by Norman Fairclough in the analysis process. There are three stages of analysis based on the CDA approach by Norman Fairclough; description, interpretation, and explanation stages. In the description stage, the researcher used the transitivity theory by Halliday to analyze news at the text level or language features. Halliday has six types of transitivity processes: material, mental, relational, behavioral, verbal, and existential. The method used in this study is a descriptive-qualitative method, in which the research analysis focuses on the clauses in a unit of news discourse. The researcher is the main instrument in this study because she is the only one who collected, classified, and analyzed the data during the entire research process. The result of this study is the discovery of all types of transitivity in the news discourse, which have different functions. Throughout the analysis, the researcher found that online news by CNN International media implied an ideology biased toward Ukraine.

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Item Type: Thesis (Undergraduate)
Creators:
CreatorsEmailNIM
Sari, Eka Suciati Riski Lailaekalayla99@gmail.comA03219014
Contributors:
ContributionNameEmailNIDN
Thesis advisorJannah, Raudlotulj.brillianty@gmail.com2006107801
Thesis advisorSwasono, Endratno Pilihendratno007@uinsby.ac.id2007067102
Subjects: Bahasa Inggris
Jurnalisme
Linguistik
Keywords: Ideology; transitivity; critical discourse analysis; online news
Divisions: Fakultas Adab dan Humaniora > Sastra Inggris
Depositing User: Eka Suciati Riski Laila Sari
Date Deposited: 24 Jul 2023 05:54
Last Modified: 24 Jul 2023 05:54
URI: http://digilib.uinsa.ac.id/id/eprint/63691

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