The Framing Power in CNN and Al-Jazeera’s U.S. - China Trade Coverage: Robert Entman’s Framing Framework

Saputra, Sopyan Ade and Surur, Misbahus ORCID: https://orcid.org/0000-0002-9370-5004 (2025) The Framing Power in CNN and Al-Jazeera’s U.S. - China Trade Coverage: Robert Entman’s Framing Framework. Jurnal Pembelajaran Bahasa dan Sastra, 4 (5). pp. 1281-1298. ISSN 28095367

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Abstract

Digital media platforms are now the main source of global information, including world economic issues. This study aims to analyze the differences in the framing of the news of the trade war between the United States and China by the international media CNN and Al-Jazeera in April 2025. Using a descriptive qualitative approach, this research explores how the two media framed their trade conflict of interest, using Robert Entman's framing theory. The main data is taken from CNN Arabic article titled “ يوهنملقفعظصسرحجتةبا با ” and Al-Jazeera article “ التجاريةيىوهنملقفعصسردحجثتةبا ا ”, and supported by secondary data from various scientific studies. Data collection techniques were conducted through reading and recording, while analysis followed the Miles and Huberman model: data reduction, data presentation, and conclusion drawing. The results show that CNN tends to present China as a strategic but aggressive party, while the US as a party that seeks to strengthen economic independence. In contrast, Al-Jazeera portrays China defensively, responding to economic pressure from the US to protect national interests. This difference reflects the media's geopolitical setting that influences the construction of discourse and global public perception.

Item Type:	Journal Article
Keywords:	Framing power, Trade coverage, Framing framework
Subjects:	20 LANGUAGE, COMMUNICATION AND CULTURE > 2001 Communication and Media Studies > 200104 Media Studies 20 LANGUAGE, COMMUNICATION AND CULTURE > 2004 Linguistics > 200403 Discourse and Pragmatics
Divisions:	Faculty of Humanities > Department of Arabic Language and Letters
Depositing User:	Misbahus Surur
Date Deposited:	12 May 2026 09:00

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