Contesting the Cynicism of Neoliberalism
A Corpus-Assisted Discourse Study of Press Representations of the Sino-US Currency Dispute
Bibliographic Data
| ID | 6084397 |
|---|---|
| Authors | Ming Liu (0000-0003-3177-4001) |
| Year | 2017 |
| Volume | 16 |
| Issue | 2 |
| Pages | 242-263 |
| Publication date | 2017-05-18 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Language and Politics (JOURNAL) |
| Journal identifiers | ISSN: 1569-2159 • E-ISSN: 1569-9862 |
| Publisher | John Benjamins Publishing Company (PUBLISHER • NL) |
| DOI | 10.1075/jlp.15010.liu |
| OpenAlex | W2597843102 |
| Language | EN |
| Citations received | 11 |
| References cited | 28 |
This article aims to expose the hegemony of neoliberalism in media discourse through a corpus-assisted discourse study of the representations of the Sino-US currency dispute in two newspapers –China Daily(CD) from China andThe New York Times(NYT) from the US. The findings suggest that while neoliberal ideology can be identified in both CD and NYT, it is articulated and appropriated differently in the two newspapers to construct their respective stance towards the issue. Neoliberal beliefs are found pervading different levels of discourse (i.e., thematic, lexical and grammatical) in NYT to construct a combative stance towards China’s exchange rate policies. However, the hegemony of neoliberalism can also be detected through CD’s ambivalent stance towards change and the seemingly contradictory evaluation of the impact of exchange rate changes
Ambivalence · China · Construct (python library · Critical discourse analysis · Currency · Cynicism · Discourse analysis · Hegemony · Ideology · Linguistics · Media studies · Metadiscourse · Neoliberalism (international relations · Newspaper · Political economy · Political science · Politics · Sociology · Discourse Analysis in Language Studies · Media Studies and Communication · Psychology · Gender Studies · Law · Philosophy · Social Psychology
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| Unique citing works | 11 |
|---|---|
| Citations per year | 1,83 |
| Citation span | 2020 - 2025 (6) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 11 |