Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/92577
| Title: | The politics of fear in Hong Kong protest representations : a corpus-assisted discourse study | Authors: | Liu, M Ma, J |
Issue Date: | Jan-2022 | Source: | Journal of language and politics, Jan. 2022, v. 21, no. 1, p. 37-59 | Abstract: | This study gives a corpus-assisted discourse study of the representations of 2019 Hong Kong protests in the New York Times. With the corpus-analytic tools Wmatrix and Wordsmith, it examines both the dominant patterns in its representations and the specific strategies used. The findings suggest that while NYT still draws on the traditional patterns in its representations of Hong Kong protests, it deviates from the protest paradigm in its representations of concerned parties. Meanwhile, emotion discourse has emerged as a distinct strategy in its representations. This is most revealing in the emotion of fear, and a close analysis of its use in its context has revealed its role in the construction of concerned parties and the distrust of Hong Kong people towards the Chinese government. | Keywords: | Corpus-assisted discourse study Emotion Fear Hong Kong Protests |
Publisher: | John Benjamins | Journal: | Journal of language and politics | ISSN: | 1569-2159 | EISSN: | 1569-9862 | DOI: | 10.1075/jlp.21019.liu | Rights: | © John Benjamins Publishing Company The following publication Ming, L., & Ma, J. (2022). The politics of fear in Hong Kong protest representations: A corpus-assisted discourse study. Journal of Language and Politics, 21(1), 37-59 is available at https://dx.doi.org/10.1075/jlp.21019.liu. Journal of Language and Politics is available at https://www.jbe-platform.com/content/journals/15699862 |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Liu_Politics_Fear_HK.pdf | Pre-Published version | 503.33 kB | Adobe PDF | View/Open |
Page views
127
Last Week
0
0
Last month
Citations as of Apr 14, 2025
Downloads
363
Citations as of Apr 14, 2025
SCOPUSTM
Citations
12
Citations as of Dec 19, 2025
WEB OF SCIENCETM
Citations
6
Citations as of Oct 10, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.



