Study on the image construction of the Guangdong-Hong Kong-Macao Greater Bay Area—A case study of China Daily reports from 2018 to 2022

Yejie Luo; Jiamin Chen; Dong Su; Hongting Yu; Zhixuan Liu

doi:10.54254/2753-7102/2025.22062

Research Article

Open access

Published on 21 April 2025

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Luo,Y.;Chen,J.;Su,D.;Yu,H.;Liu,Z. (2025). Study on the image construction of the Guangdong-Hong Kong-Macao Greater Bay Area—A case study of China Daily reports from 2018 to 2022. Advances in Social Behavior Research,16(3),1-7.

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Study on the image construction of the Guangdong-Hong Kong-Macao Greater Bay Area—A case study of China Daily reports from 2018 to 2022

Yejie Luo *^,1, Jiamin Chen ², Dong Su ³, Hongting Yu ⁴, Zhixuan Liu ⁵

¹ Huizhou University
² Huizhou University
³ Huizhou University
⁴ Huizhou University
⁵ Huizhou University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-7102/2025.22062

Abstract

Since its proposal, the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) has attracted widespread attention both domestically and internationally, becoming a window for showcasing China’s national image. This study uses China Daily’s reports from 2018 to 2022 as a sample and applies a corpus-based research method combined with Python. It investigates the reporting characteristics, image construction features, and optimization pathways by analyzing trends, word frequency, sources, themes, and regional distribution. The study finds that: (1) the newspaper shapes a distinct economic image of the GBA, but it should strengthen the portrayal of the region’s cultural identity; (2) there is an uneven regional distribution in the reports, and efforts should be made to promote balanced development in the Bay Area; (3) the reporting perspective is predominantly official; and (4) the diversity of information channels should be expanded.

Keywords

Guangdong-Hong Kong-Macao Greater Bay Area, China Daily, image construction

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References

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Journal：Advances in Social Behavior Research

Volume number: Vol.16

ISSN：2753-7102(Print) / 2753-7110(Online)

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