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A topic modeling-assisted diachronic study of “One Country, Two Systems” represented in Anglo-American newspapers

Bibliographic Data

ID6084296
AuthorsFu Chen (0000-0002-9145-6702), Chen Fu (0000-0003-0646-9048), Guofeng Wang (0000-0002-1598-4159)
Year2023
Volume22
Issue6
Pages869-893
Publication date2023-11-17
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Language and Politics (JOURNAL)
Journal identifiersISSN: 1569-2159 • E-ISSN: 1569-9862
PublisherJohn Benjamins Publishing Company (PUBLISHER • NL)
DOI10.1075/jlp.21038.che
OpenAlexW4378374691
LanguageEN
Citations received4
References cited49

One Country, Two Systems (1C2S) is a framework proposed by China to achieve national unification of territories with different economic and socio-political systems. This study explores the discursive construction of 1C2S in two representative Anglo-American newspapers from January 1984 through March 2020 by taking a topic modeling-assisted critical discourse studies approach. The findings suggest that the foci of coverage change throughout the years, and the reports present an increasingly negative portrayal of 1C2S and growing distrust in its future through the use of a variety of discursive strategies such as predication, intensification, and normalization. In addition to practical concerns of the U.S. and the U.K., these findings are interpreted with regard to the underlying ideological conflicts between socialist China and the two capitalist Western countries. This study also shows the advantage of integrating the topic-modelling approach into discourse studies, especially in terms of diachronic analysis

China · Critical discourse analysis · Distrust · Economics · Ideology · Media studies · Newspaper · Normalization (sociology · Political economy · Political science · Politics · Positive economics · Social science · Sociology · Unification · Variety (cybernetics · Asian Studies and History · Computational and Text Analysis Methods · Computer Science · Hong Kong and Taiwan Politics · Law

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Unique citing works4
Citations per year1,33
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 4

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