Social-Media-Based Policy Informatics: Cyber-Surveillance For Homeland Security And Public Health Informatics
Keywords
Cyber-surveillance; Health informatics; Homeland security; Network analysis; Policy informatics; Sentiment analysis; Social media analytics; Systems development
Abstract
Nowadays, policy makers face complex challenges such as cybersecurity, infectious disease control, and political rumors, which can quickly elicit large-scale crises in a world connected by social media. However, scarce work is found in using social media analytics to support high-impact policy areas that span across nations and population groups. In this chapter, we describe a framework for social-media-based policy informatics and its application to addressing policy issues concerned by governments and general public. Based on the framework, we conducted two case studies: The first study concerns with the U.S. immigration and border security, which is increasingly motivated by cyber means and affects the U.S. economy, national security, and foreign policies. The second study concerns with the West African Ebola disease outbreak, which has caused over 11,305 people to die and is the largest and most complex in the history of the disease. We present empirical findings obtained from the data analyses and discuss the implication for public policy decision making. The research should contribute to developing a new social-media-based framework for policy informatics and to demonstrating its use in high-impact policy issues.
Publication Date
1-1-2018
Publication Title
Public Administration and Information Technology
Volume
25
Number of Pages
363-385
Document Type
Article; Book Chapter
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-319-61762-6_16
Copyright Status
Unknown
Socpus ID
85060126563 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85060126563
STARS Citation
Chung, Wingyan and Zeng, Daniel, "Social-Media-Based Policy Informatics: Cyber-Surveillance For Homeland Security And Public Health Informatics" (2018). Scopus Export 2015-2019. 10014.
https://stars.library.ucf.edu/scopus2015/10014