Understanding Citizen Reactions and Ebola-Related Information Propagation on Social Media
July 14, 2016 Β· Declared Dead Β· π International Conference on Advances in Social Networks Analysis and Mining
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Authors
Thanh Tran, Kyumin Lee
arXiv ID
1607.04318
Category
cs.SI: Social & Info Networks
Cross-listed
cs.CY
Citations
32
Venue
International Conference on Advances in Social Networks Analysis and Mining
Last Checked
6 months ago
Abstract
In severe outbreaks such as Ebola, bird flu and SARS, people share news, and their thoughts and responses regarding the outbreaks on social media. Understanding how people perceive the severe outbreaks, what their responses are, and what factors affect these responses become important. In this paper, we conduct a comprehensive study of understanding and mining the spread of Ebola-related information on social media. In particular, we (i) conduct a large-scale data-driven analysis of geotagged social media messages to understand citizen reactions regarding Ebola; (ii) build information propagation models which measure locality of information; and (iii) analyze spatial, temporal and social properties of Ebola-related information. Our work provides new insights into Ebola outbreak by understanding citizen reactions and topic-based information propagation, as well as providing a foundation for analysis and response of future public health crises.
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