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首页> 外文会议>IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining;International Symposium on Foundations of Open Source Intelligence and Security Informatics;International Symposium on Foundations and Applications of Big Data Analytics;International Symposium on Network Enabled Health Informatics, Biomedicine and Bioinformatics >Rejecting the Null Hypothesis of Apathetic Retweeting of US Politicians and SPLC-defined Hate Groups in the 2016 US Presidential Election
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Rejecting the Null Hypothesis of Apathetic Retweeting of US Politicians and SPLC-defined Hate Groups in the 2016 US Presidential Election

机译：在2016年美国总统大选中拒绝对美国政客和SPLC定义的仇恨团体进行冷漠转发的零假设

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We characterize the Twitter networks of both major presidential candidates, Donald Trump and Hillary Clinton, with various American hate groups defined by the US Southern Poverty Law Center (SPLC). We further examined the Twitter networks for Bernie Sanders, Ted Cruz, and Paul Ryan, for 9 weeks around the 2016 election (4 weeks prior to the election and 4 weeks post-election). By carefully accounting for the observed heterogeneity in the Twitter activity levels across individuals under the null hypothesis of apathetic retweeting that is formalized as a random network model based on the directed, multi-edged, self-looped, configuration model, our data revealed via a generalized Fisher's exact test that there were significantly many Twitter accounts linked to SPLC-defined hate groups belonging to seven ideologies (Anti-Government, Anti-Immigrant, Anti-LGBT, Anti-Muslim, Alt-Right, Neo-Nazi, and White-Nationalist) and also to @realDonaldTrump relative to the accounts of the other four politicians. The exact hypothesis test uses Apache Spark's distributed sort and join algorithms to produce independent samples in a fully scalable way from the null model.
机译：我们将唐纳德·特朗普和希拉里·克林顿这两个主要总统候选人的推特网络与美国南方贫困法律中心（SPLC）所定义的各种美国仇恨组织进行了比较。我们在2016年大选前后的9周（选举前4周和选举后4周）进一步检查了伯尼·桑德斯，特德·克鲁兹和保罗·瑞安的Twitter网络。通过仔细考虑在冷漠推销的零假设下个体之间Twitter活动水平观察到的异质性，将其正式化为基于有向，多边，自循环，配置模型的随机网络模型，我们的数据通过费舍尔（Fisher）的确切测试是，有很多Twitter帐户与SPLC定义的仇恨团体相关联，这些仇恨团体属于七个意识形态（反政府，反移民，反LGBT，反穆斯林，Alt-Right，Neo-Nazi和White-民族主义者），也要相对于其他四位政治家的账目，发送至@realDonaldTrump。确切的假设检验使用Apache Spark的分布式排序和联接算法，以完全可扩展的方式从null模型生成独立样本。

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