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Policy Analytics, Modelling, and Informatics pp 363–385Cite as

Social-Media-Based Policy Informatics: Cyber-Surveillance for Homeland Security and Public Health Informatics

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Part of the book series: Public Administration and Information Technology ((PAIT,volume 25))

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.

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Abbreviations

BBC:

British Broadcasting Company

BI:

Business intelligence

D.C.:

District of Columbia

eMood:

Ebola disease outbreak social media mood system

iMood:

The U.S. immigration and border security mood system

MIS:

Management information systems

SM:

Social media

SMA:

Social media analytics

U.C.F.:

University of Central Florida

U.S.:

United States

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Author information

Authors and Affiliations

  1. Institute for Simulation and Training, University of Central Florida, 3100 Technology Pkwy, Orlando, FL, 32826, USA

    Wingyan Chung

  2. Department of Management Information Systems, Eller College of Management, The University of Arizona, 1130 E. Helen Street, Tucson, AZ, 85721, USA

    Daniel Zeng

  3. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China

    Daniel Zeng

Authors
  1. Wingyan Chung
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  2. Daniel Zeng
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Corresponding author

Correspondence to Wingyan Chung .

Editor information

Editors and Affiliations

  1. Center for Technology in Government & Rockefeller College of Public Affairs and Policy, University at Albany, State University of New York, Albany, New York, USA

    J Ramon Gil-Garcia

  2. Center for Technology in Government & Rockefeller College of Public Affairs and Policy, University at Albany, State University of New York, Albany, New York, USA

    Theresa A. Pardo

  3. Center for Technology in Government & Rockefeller College of Public Affairs and Policy, University at Albany, State University of New York, Albany, New York, USA

    Luis F. Luna-Reyes

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Chung, W., Zeng, D. (2018). Social-Media-Based Policy Informatics: Cyber-Surveillance for Homeland Security and Public Health Informatics. In: Gil-Garcia, J., Pardo, T., Luna-Reyes, L. (eds) Policy Analytics, Modelling, and Informatics. Public Administration and Information Technology, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-319-61762-6_16

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