Project Details
Description
This study aims to articulate the role of social media in growing polarization betweenpro-establishment (i.e. pro-Beijin) and pro-democracy citizens in Hong Kong. Due tothe high-choice nature of social media, it facilitates selective exposure to informationthat is congruent with users’ partisan identity, resulting in attitudinal and affectivepolarization. However, most of the previous studies presuppose two mutually exclusivepartisan identities (e.g. Democrat vs. Republican in the U.S.) and little is known aboutthe role of more complex multiple identities that coexist within an individual. Focusingon Hong Kong, where Chinese and Hong Kong identities are dynamically constructed ina non-mutually exclusive way, this study advances our understanding of the connectionbetween social media use and mass polarization. The findings generated by this projectwill not only make a theoretical contribution to better understand the social and politicalconsequences of social media but will also provide deep insight into the reality of digitalcitizenship in Hong Kong.
| Project number | 9042598 |
|---|---|
| Grant type | GRF |
| Status | Finished |
| Effective start/end date | 1/01/18 → 18/11/20 |
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Research output
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Concept-Level Semantic Transfer and Context-Level Distribution Modeling for Few-Shot Segmentation
Luo, Y., Chen, J., Cong, R., Ip, H. H. S. & Kwong, S., Sept 2025, In: IEEE Transactions on Circuits and Systems for Video Technology. 35, 9, p. 9190-9204Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
2 Link opens in a new tab Citations (Scopus) -
HNR-ISC: Hybrid Neural Representation for Image Set Compression
Zhang, P., Wang, S., Wang, M., Chen, P., Wu, W., Wang, X. & Kwong, S., 2025, In: IEEE Transactions on Multimedia. 27, p. 28-40Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
2 Link opens in a new tab Citations (Scopus) -
EEG-TransMTL: A transformer-based multi-task learning network for thermal comfort evaluation of railway passenger from EEG
Fan, C., Lin, S., Cheng, B., Xu, D., Wang, K., Peng, Y. & Kwong, S., Feb 2024, In: Information Sciences. 657, 119908.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
16 Link opens in a new tab Citations (Scopus)