Discourse strategies in news media: A corpus-based comparison of Chinese and US conflict reporting

This article explores the discourse construction of the Israeli-Palestinian conflict as represented within Chinese and US mainstream media. The study uses a corpus-based discourse-historical approach to compare the nomination and predicative strategies employed in the Israeli-Palestinian conflict discourse. In doing so, we used a self-built corpus of Chinese media reports on the Israeli-Palestinian conflict and a corpus of US media reports. The findings of the study indicate that Chinese and US media prioritize distinct primary social actors. Chinese media often portray Israel as the “out-group” and Palestine as the “in-group,” emphasizing China's dedication to peace, justice, and the pursuit of a comprehensive, equitable, and nonviolent resolution to the Palestinian issue. In contrast, US media present a more nuanced portrayal of Israel and Palestine as both “in-group” and “out-group” entities; however, they accord greater prominence to Israel's “in-group” image and Palestine's “out-group” image, thereby mirroring the United States’ explicit pro-Israel position and its diplomatic commitments to counterterrorism and the promotion of international humanitarian principles. The study makes a substantial contribution by elucidating the linguistic variations in the discourse construction of the Israeli-Palestinian conflict within Chinese and US mainstream media.

Authors

Institutions

Publication Details

Journal
Asian Journal of Comparative Politics
Published
2026-01-26
DOI
https://doi.org/10.1177/20578911251414186
Primary Topic
Jewish and Middle Eastern Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Discourse strategies in news media: A corpus-based comparison of Chinese and US conflict reporting

Xiaoshu Yuan, Muhammad Afzaal
Asian Journal of Comparative Politics
Jewish and Middle Eastern Studies
article

Discourse strategies in news media: A corpus-based comparison of Chinese and US conflict reporting

Xiaoshu Yuan, Muhammad Afzaal
article en

Abstract

This article explores the discourse construction of the Israeli-Palestinian conflict as represented within Chinese and US mainstream media. The study uses a corpus-based discourse-historical approach to compare the nomination and predicative strategies employed in the Israeli-Palestinian conflict discourse. In doing so, we used a self-built corpus of Chinese media reports on the Israeli-Palestinian conflict and a corpus of US media reports. The findings of the study indicate that Chinese and US media prioritize distinct primary social actors. Chinese media often portray Israel as the “out-group” and Palestine as the “in-group,” emphasizing China's dedication to peace, justice, and the pursuit of a comprehensive, equitable, and nonviolent resolution to the Palestinian issue. In contrast, US media present a more nuanced portrayal of Israel and Palestine as both “in-group” and “out-group” entities; however, they accord greater prominence to Israel's “in-group” image and Palestine's “out-group” image, thereby mirroring the United States’ explicit pro-Israel position and its diplomatic commitments to counterterrorism and the promotion of international humanitarian principles. The study makes a substantial contribution by elucidating the linguistic variations in the discourse construction of the Israeli-Palestinian conflict within Chinese and US mainstream media.

Asian Journal of Comparative Politics
Shanghai International Studies University (CN)
Openalex Percentile: Top 81%
Jewish and Middle Eastern Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.