标题:Us and Them: Adversarial Politics on Twitter
作者:Guimaraes, Anna; Wang, Liqiang; Weikum, Gerhard
作者机构:[Guimaraes, Anna; Weikum, Gerhard] Max Planck Inst Informat, Saarbrucken, Germany.; [Wang, Liqiang] Shandong Univ, Jinan, Shandong, Peoples R China.
会议名称:17th IEEE International Conference on Data Mining (ICDMW)
会议日期:NOV 18-21, 2017
来源:2017 17TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW 2017)
出版年:2017
卷:2017-November
页码:872-877
DOI:10.1109/ICDMW.2017.119
摘要:Social-media debates on longitudinal political topics often take the form of adversarial discussions: highly polarized user posts, favoring one of two opposing parties, over an extended time period. Recent prominent cases are the US Presidential campaign and the UK Brexit referendum. This paper approaches such discussions as a multi-faceted data space, and applies data mining to identify interesting patterns and factors of influence. Specifically, we study how topics are addressed by different parties, their factual and "post-factual" undertones, and the role of highly active "power users" on either side of the discussion.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044020974&doi=10.1109%2fICDMW.2017.119&partnerID=40&md5=423e892d9be1c60798f509b2cc95e02a
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