Social-Media-Based Public Policy Informatics: Sentiment and Network Analyses of US Immigration and Border Security
Chung, Wingyan1; Zeng, Daniel2,3
Source PublicationJOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY
2016-07-01
Volume67Issue:7Pages:1588-1606
SubtypeArticle
AbstractSocial 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.
KeywordPublic Domain Information Knowledge Organization Systems Network Analysis
WOS HeadingsScience & Technology ; Technology
DOI10.1002/asi.23449
WOS KeywordBUSINESS INTELLIGENCE ; FRAMEWORK ; ANALYTICS ; SCIENCE ; WEB
Indexed BySCI ; SSCI
Language英语
Funding OrganizationU.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 Research AreaComputer Science ; Information Science & Library Science
WOS SubjectComputer Science, Information Systems ; Information Science & Library Science
WOS IDWOS:000378644700005
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12036
Collection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
Affiliation1.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
Recommended Citation
GB/T 7714
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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