Rihandy, Ariq Najmi and Hidayatullah, Achmad Diny
ORCID: https://orcid.org/0000-0002-1370-6569
(2025)
Social actor representations in the international conflict discourse between Trump and Zelensky.
Leksema: Jurnal Bahasa dan Sastra, 10 (2).
pp. 161-179.
ISSN 2527-807X
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Abstract
This study explores how the media construct social actor representations in the international conflict discourse between US President, Donald Trump, and Ukrainian President, Volodymyr Zelensky, during their tense meeting at the White House in February 2025. Employing Theo van Leeuwen's (2013) Social Actor Representation model within the Critical Discourse Analysis (CDA) framework, the study examines six selected news texts from Al-Ghad and BBC News Arabic. Using a qualitative approach and interactive model analysis by Miles, Huberman, and Saldana (2014), this research identifies key strategies of inclusion and exclusion used by each media outlet to position the two political figures. The findings reveal contrasting ideological patterns: Al-Ghad activates Trump as a dominant figure while marginalizing Zelensky through passivation and negative categorization; conversely, BBC News Arabic emphasizes Zelensky's agency while softening Trump’s image through passivization and nominalization. This study contributes to media discourse analysis by highlighting how ideological orientations influence the representation of global political actors and shape public perception. It also underlines the role of linguistic strategies in reproducing power relations in international conflict narratives.
| Item Type: | Journal Article |
|---|---|
| Keywords: | critical discourse analysis; social actor representation; van Leeuwen; Trump-Zelensky |
| Subjects: | 20 LANGUAGE, COMMUNICATION AND CULTURE > 2004 Linguistics 20 LANGUAGE, COMMUNICATION AND CULTURE > 2099 Other Language, Communication and Culture |
| Divisions: | Faculty of Humanities > Department of Arabic Language and Letters |
| Depositing User: | Achmad Diny Hidayatullah |
| Date Deposited: | 25 Sep 2025 15:01 |
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