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Journal of Education Humanities and Social Sciences
Article . 2024 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Characteristics of "Cyber Nationalism" in China: A Case Study of Comments on Nongfu Spring on Weibo

Authors: Xu Wang;

Characteristics of "Cyber Nationalism" in China: A Case Study of Comments on Nongfu Spring on Weibo

Abstract

This study examines the influence of consumer nationalism on corporate reputation as well as consumer behaviour in China, with a particular focus on Nongfu Spring and its CEO Zhong Shanshan. Through sentiment and textual analyses of social media discourse, this study examines how nationalistic sentiments and perceptions of patriotism influence public opinion, especially when corporate behaviour or affiliations appear to conflict with national interests. The study finds that what Chinese nationalists perceive as unpatriotic behaviour or affiliation with foreign elements may cause significant backlash. This is illustrated by the negative reaction to Nongfu Spring’s suspected Japanese cultural elements in the brand and the CEO’s son’s US citizenship. The findings highlight the complexity of consumer nationalism in China, where economic behaviour is heavily politicised and closely linked to notions of national loyalty. In a market environment where nationalism is prevalent, this study contributes to an understanding of the intricate relationship within nationalism, corporate reputation, and consumer behaviour.

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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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