Social-Media-Based Public Policy Informatics: Sentiment and Network Analyses of US Immigration and Border Security
Chung, Wingyan1; Zeng, Daniel2,3
2016-07-01
发表期刊JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY
卷号67期号:7页码:1588-1606
文章类型Article
摘要Social media provide opportunities for policy makers to gauge pubic opinion. However, the large volumes and variety of expressions on social media have challenged traditional policy analysis and public sentiment assessment. In this article, we describe a framework for social-media-based public policy informatics and a system called iMood that addresses the needs for sentiment and network analyses of U.S. immigration and border security. iMood collects related messages on Twitter, extracts user sentiment and emotion, and constructs networks of the Twitter users, helping policy makers to identify opinion leaders, influential users, and community activists. We evaluated the sentiment, emotion, and network characteristics found in 909,035 tweets posted by over 300,000 users during three phases between May and November 2013. Statistical analyses reveal significant differences in emotion and sentiment among the 3 phases. The Twitter networks of the 3 phases also had significantly different relationship counts, network densities, and total influence scores from those of other phases. This research should contribute to developing a new framework and a new system for social-media-based public policy informatics, providing new empirical findings and data sets of sentiment and network analyses of U.S. immigration and border security, and demonstrating a general applicability to different domains.
关键词Public Domain Information Knowledge Organization Systems Network Analysis
WOS标题词Science & Technology ; Technology
DOI10.1002/asi.23449
关键词[WOS]BUSINESS INTELLIGENCE ; FRAMEWORK ; ANALYTICS ; SCIENCE ; WEB
收录类别SCI ; SSCI
语种英语
项目资助者U.S. Department of Homeland Security ; U.S. National Science Foundation(DUE-1141209) ; National Center for Border Security and Immigration at the University of Arizona ; Center for Business Intelligence and Analytics at Stetson University
WOS研究方向Computer Science ; Information Science & Library Science
WOS类目Computer Science, Information Systems ; Information Science & Library Science
WOS记录号WOS:000378644700005
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12036
专题复杂系统管理与控制国家重点实验室_互联网大数据与信息安全
作者单位1.Univ Cent Florida, Inst Simulat & Training, 3100 Technol Pkwy, Orlando, FL 32826 USA
2.Univ Arizona, Dept Management Informat Syst, Eller Coll Management, 1130 East Helen St, Tucson, AZ 85721 USA
3.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China
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Chung, Wingyan,Zeng, Daniel. Social-Media-Based Public Policy Informatics: Sentiment and Network Analyses of US Immigration and Border Security[J]. JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY,2016,67(7):1588-1606.
APA Chung, Wingyan,&Zeng, Daniel.(2016).Social-Media-Based Public Policy Informatics: Sentiment and Network Analyses of US Immigration and Border Security.JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY,67(7),1588-1606.
MLA Chung, Wingyan,et al."Social-Media-Based Public Policy Informatics: Sentiment and Network Analyses of US Immigration and Border Security".JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY 67.7(2016):1588-1606.
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