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Document Type
Journal Article
Publication Date
2026
Keywords
Online Public Opinion Analysis, Sentiment, Local and Non-Local Students, Social Media, DSE
DOI
10.4236/ajc.2026.141002
Abstract
This study focuses on the topic of local and non-local students in the Hong Kong Diploma of Secondary Education (DSE), collecting 1203 social media texts and comment data from Douyin and Xiaohongshu (Little Red Book) platforms, employing sentiment analysis and topic identification techniques to explore the characteristics of online public opinion patterns. The research findings reveal that overall public opinion exhibits a neutral tendency (79.8%), with an average sentiment score of 0.14. DSE-related discussions totaled 216 entries, local student-related discussions 146 entries, non-local student-related discussions 41 entries, and comparative discussions 35 entries. Significant emotional differences exist among different groups, with a standard deviation of 0.11, where the comparative discussion group shows the most negative sentiment (−0.23), reflecting the complexity and sensitivity of educational equity issues.
Source Publication
Advances in Journalism and Communication
Volume Number
14
Issue Number
1
ISSN
2328-4935 (Online); 2328-4927 (Print)
First Page
25
Last Page
35
Recommended Citation
Chan, Y.,& Liu, C. (2026). Research on Online Public Opinion Patterns under the Boundary between Local and Non-Local Students in DSE: A Case Study of Social Media Texts and Comments. Advances in Journalism and Communication, 14 (1), 25-35. http://dx.doi.org/10.4236/ajc.2026.141002