Emotion Extraction and Entrainment in Social Media: The Case of U.S. Immigration and Border Security
Chung, Wingyan1; He, Saike2; Zeng, Daniel2,3; Benjamin, Victor4
2015-05-27
Conference NameIEEE International Conference on Intelligence and Security Informatics (IEEE ISI 2015)
Source Publication2015 IEEE International Conference on Intelligence and Security Informatics (ISI)
Conference Date2015-5-27 ~ 2015-5-29
Conference PlaceBaltimore, MD, USA
AbstractEmotion plays an important role in shaping public policy and business decisions. The growth of social media has allowed people to express their emotion publicly in an unprecedented manner. Textual content and user linkages fostered by social media networks can be used to examine emotion types, intensity, and contagion. However, research into how emotion evolves and entrains in social media that influence security issues is scarce. In this research, we developed an approach to analyzing emotion expressed in political social media. We compared two methods of emotion analysis to identify influential users and to trace their contagion effects on public emotion, and report preliminary findings of analyzing the emotion of 105,304 users who posted 189,012 tweets on the U.S. immigration and border security issues in November 2014. The results provide strong implication for understanding social actions and for collecting social intelligence for security informatics. This research should contribute to helping decision makers and security personnel to use public emotion effectively to develop appropriate strategies.
KeywordEmotion Social Media Analytics Text Mining Social Network Analysis Entrainment Influence U.s. Immigration Policy Border Security
DOI10.1109/ISI.2015.7165939
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Indexed ByEI
Language英语
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Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10775
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
Corresponding AuthorChung, Wingyan
Affiliation1.Dept. of Decision and Info. Sciences, School of Business Administration, Stetson University
2.State Key Lab of Management and Control for Complex Systems, Chinese Academy of Sciences
3.Dept. of MIS, U. of Arizona Tucson, Arizona, U.S.A.
4.Dept. of MIS Eller College of Management University of Arizona
Recommended Citation
GB/T 7714
Chung, Wingyan,He, Saike,Zeng, Daniel,et al. Emotion Extraction and Entrainment in Social Media: The Case of U.S. Immigration and Border Security[C],2015.
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