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The Party is Over Here: Structure and Content in the 2010 Election

机译:该党在这里结束了:2010年的大选结构和内容

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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 690 k 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%.
机译:在这项工作中,我们研究了在美国中期(2010年)选举中的房子,参议院和牧人候选人的使用,我们的数据包括近700名候选人,超过了690克的文件,他们在3.5年内产生并引用选举。我们利用图形和文本挖掘技术来分析民主党,共和党和茶党候选人之间的差异,并提出了一种新的使用语言模型的估算内容凝聚力。我们的调查结果显示了社交媒体的使用模式的显着差异,并提出了保守的候选人更有效地使用了这种媒体,传达了相干信息并保持了密集的连接图。尽管缺乏党领导,我们发现茶叶党员展示了基于语言的凝聚力。最后,我们通过创建概念验证模型来调查网络结构,内容和选举结果之间的关系,该模型预测候选人胜利,准确性为88.0%。

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