Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
12-2019
Abstract
In this study, we analyze social conversations about Hong Kong Protests, a series of events that were widely seen and debated in social media in 2019. Our system collects data from Twitter and Reddit using their APIs. It performs sentiment analysis, and the analysis results show changes in public sentiment around major events. Social network analysis reveals influencers - users that are in the center of social conversations. Our interactive Tableau dashboard allows the user to easily monitor live social conversations about Hong Kong protests.
Keywords
Hong Kong protests, sentiment analysis, social media, analytics, social influencers
Discipline
Asian Studies | Numerical Analysis and Scientific Computing | Social Media
Research Areas
Information Systems and Management
Publication
2019 IEEE International Conference on Big Data: Los Angeles, December 9-12: Proceedings
First Page
6192
Last Page
6194
ISBN
9781728108582
Identifier
10.1109/BigData47090.2019.9006462
Publisher
IEEE
City or Country
Piscataway, NJ
Embargo Period
6-10-2025
Citation
QI, Haodi; JIANG, Hanyu; BU, Wende; ZHANG, Chengzi; and SHIM, Kyong Jin.
Tracking political events in social media: A case study of Hong Kong protests. (2019). 2019 IEEE International Conference on Big Data: Los Angeles, December 9-12: Proceedings. 6192-6194.
Available at: https://ink.library.smu.edu.sg/sis_research/10222
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/BigData47090.2019.9006462
Included in
Asian Studies Commons, Numerical Analysis and Scientific Computing Commons, Social Media Commons