pith. sign in

arxiv: 1607.04318 · v1 · pith:W2GAQTVHnew · submitted 2016-07-14 · 💻 cs.SI · cs.CY

Understanding Citizen Reactions and Ebola-Related Information Propagation on Social Media

classification 💻 cs.SI cs.CY
keywords informationsocialmediaunderstandingcitizenebolaebola-relatedoutbreaks
0
0 comments X
read the original 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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.