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English Language Teaching and Linguistics Studies
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Corpus-assisted Discourse Analysis of Attitudes Towards Huawei in American and British 5G News Discourse

Authors: Zhihan Wen;

Corpus-assisted Discourse Analysis of Attitudes Towards Huawei in American and British 5G News Discourse

Abstract

In recent years, the fifth-generation wireless technology (henceforth 5G) has emerged and gradually occupied an essential position in the development plans of some countries around the globe. The Chinese telecom company Huawei is a prominent participant in this sector and receives much media attention. However, how the company is represented and appraised in Western newspapers is not well investigated. This study probes into 709 American news articles collected from the New York Times and Wall Street Journal and 697 British ones from The Times and The Guardian from January 2018 to June 2020. A corpus-assisted comparative analysis is conducted from the perspective of Appraisal Theory. The study aims to identify specific attitudinal resources used in two countries’ news discourses, investigate possible similarities and differences between their attitudes towards Huawei, and finally provide some interpretations and explanations regarding relevant socio-political contexts.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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