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关于政党:2010年选举的结构和内容

The Party Is Over Here: Structure and Content in the 2010 Election
课程网址: http://videolectures.net/icwsm2011_livne_election/  
主讲教师: Avishay Livne
开课单位: 密歇根大学
开课时间: 2011-08-18
课程语种: 英语
中文简介:
在这项工作中,我们研究了众议院,参议院和州长候选人在美国中期(2010年)选举期间使用Twitter的情况。我们的数据包括近700个候选人和超过690k的文件,他们在导致选举的3。5年内制作并引用了这些文件。我们利用图形和文本挖掘技术来分析民主党人,共和党人和茶党候选人之间的差异,并建议使用语言建模来估计内容的凝聚力。我们的研究结果显示社交媒体的使用模式存在显着差异,并且最近的保守候选人更有效地使用了这种媒介,传达了连贯的信息并维护了密集的连接图。尽管缺乏部分领导,我们发现茶党成员表现出基于结构和语言的凝聚力。最后,通过创建概率证明模型,研究网络结构,内容和选举结果之间的关系,预测候选胜利的准确率为88.0%。
课程简介: In this work, we study the use of Twitter by House, Senate and gubernatorial candidates during the midterm (2010) elections in the U.S. Our data includes almost 700 candidates and over 690k documents that they produced and cited in the 3.5 years leading to the elections. We utilize graph and text mining techniques to analyze differences between Democrats, Republicans and Tea Party candidates, and suggest a novel use of language modeling for estimating content cohesiveness. Our findings show significant differences in the usage patterns of social media, and suggest conservative candidates used this medium more effectively, conveying a coherent message and maintaining a dense graph of connections. Despite the lack of party leadership, we find Tea Party members display both structural and language-based cohesiveness. Finally, we investigate the relation between network structure, content and election results by creating a proof-of-concept model that predicts candidate victory with an accuracy of 88.0%.
关 键 词: 语言建模; 社交媒体; 概率
课程来源: 视频讲座网
最后编审: 2019-04-27:lxf
阅读次数: 39