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Trolling Twitter

机译：拖曳推特

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摘要

Political polarization is a defining feature of the contemporary American political landscape. While there is little doubt that elite polarization levels have risen dramatically in recent decades, there is some debate over the existence of a corresponding rise in mass polarization. Recent scholarship on mass polarization has cited evidence related to citizens' positions on public policy issues, party sorting, and geographic polarization; however, questions remain as to the nature and extent of mass polarization in online spaces. Specifically, more needs to be known regarding how expressions of elite polarization influence the formation of polarized communities within social media.;This dissertation examines the question: Does elite polarization contribute to mass polarization in social media? This question is approached in three stages. First, this dissertation tests whether or not a causal link between elite and mass polarization strengthens with temporal proximity to highly politicized and potentially polarizing events over the span of the 2016 Republican presidential primary. Second, this dissertation examines the instant effects of elite polarization by examining a minute-by-minute live stream of reactions on Twitter during the first 2016 presidential debate. Third, this dissertation tests a contemporary theory which claims a presidential candidate's patterns of speech sows the seeds of mass polarization in the form of resentment, fear, or incivility.;This dissertation also employs the use of network analysis tools to measure the extent to which polarized communities form on social media in response to elite cues. The nature of such causal relationships provides insight into the influence polarizing messages by elites may have on mass polarization while taking into consideration the unique characteristics of the social media communications environment. In doing so, this dissertation offers a blueprint for future researchers who seek to better understand how networked technologies shape human interactions.
机译：政治两极分化是当代美国政治格局的决定性特征。尽管毫无疑问，近几十年来精英极化水平已经急剧上升，但对于质量极化是否存在相应上升的问题仍有一些争论。最近关于大众两极分化的奖学金引用了与公民在公共政策问题，政党分类和地理两极化上的立场有关的证据。但是，在线空间中质量极化的性质和程度仍然存在疑问。具体而言，关于精英极化的表达如何影响社交媒体中极化社区的形成，还需要更多的知识。本文研究了以下问题：精英极化是否有助于社交媒体中的大众极化？这个问题分为三个阶段。首先，本论文测试了精英与大众两极分化之间的因果关系是否随着2016年共和党总统大选期间的高度政治化和潜在两极分化事件的暂时接近而增强。其次，本文通过在2016年第一届总统辩论期间在Twitter上逐分钟的实时反应流来检查精英两极分化的即时影响。第三，本论文检验了一种当代理论，该理论声称总统候选人的演讲模式以怨恨，恐惧或不活跃的形式播撒了大众两极分化的种子;该论文还利用网络分析工具来衡量两极分化的社区在社交媒体上形成，以回应精英提示。这种因果关系的性质提供了对精英人士两极化信息可能对质量两极化产生影响的见解，同时考虑了社交媒体传播环境的独特特征。在此过程中，本论文为将来的研究人员提供了一个蓝图，他们希望更好地了解联网技术如何塑造人机交互。

著录项

  • 作者

    Vorst, Eric Charles.;

  • 作者单位

    University of Missouri - Saint Louis.;

  • 授予单位 University of Missouri - Saint Louis.;
  • 学科 Political science.;Communication.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 200 p.
  • 总页数 200
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 土壤学;
  • 关键词

  • 入库时间 2022-08-17 11:38:27

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