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The Affective Citizen Communication Model: How Emotions Engage Citizens with Politics through Media and Discussion.

机译：情感公民交流模型：情绪如何通过媒体和讨论与公民进行政治互动。

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摘要

This dissertation seeks to improve our understanding of the process by which emotions enable citizens to learn about public affairs and engage in political activities during electoral campaigns. It advances a theoretical model that incorporates the dynamics of emotions, various forms of media use, interpersonal communication and political involvement. This affective citizen communication model integrates into a single framework the insights of affective intelligence theory (Marcus, Neuman, & MacKuen, 2000) and the work on communication mediation (McLeod et al., 1999, 2001) and its two iterations, cognitive mediation (Eveland, 2001) and citizen communication mediation (Cho et al., 2009; Shah et al., 2005, 2007). More specifically, it suggests that the effects of emotions triggered by political candidates (e.g., enthusiasm, anxiety, anger) on knowledge of the candidates' stands on issues and on political participation are largely mediated by communication variables, including news media use, political discussion and debate viewing. By positing emotions as an antecedent of both mediated and interpersonal communication, the study extends current research based on affective intelligence theory. At the same time, the study adds emotions to communication mediation processes, which to date have been studied from a mostly cognitive perspective.;To test the relationships between the variables identified in the affective citizen communication model, I rely on panel survey data collected for the 2008 and 2004 U.S. presidential elections by the American National Election Studies (ANES) and the National Annenberg Election Surveys (NAES), respectively. Two types of structural equation models are tested, cross sectional (to relate individual differences) and auto-regressive (to relate aggregate change across waves). Results suggest that positive emotions spark media use, whereas negative emotions spark political discussions, and both types of communication behavior influence issue knowledge and participation in campaign activities. Furthermore, the theorized structure is found to perform better than an alternative structure where communication variables cause positive and negative emotions. Thus, results provide strong support for the proposed affective citizen communication model. Refinements to the proposed model, connections with existing theories of political communication, such as agenda setting and partisan selective exposure, and directions for future research are also discussed.
机译：本论文旨在增进我们对情感的过程的理解，通过情感过程，公民可以在选举活动中了解公共事务并从事政治活动。它提出了一种理论模型，该模型包含了情绪的动态，各种形式的媒体使用，人际交流和政治参与。这种情感公民交流模型将情感智力理论的见解（Marcus，Neuman和MacKuen，2000年）以及交流中介工作（McLeod等，1999年，2001年）及其两次迭代（认知中介）整合到一个框架中。 Eveland，2001年）和公民交流中介（Cho等，2009年； Shah等，2005年，2007年）。更具体地说，它表明，政治候选人引发的情绪（例如热情，焦虑，愤怒）对候选人对问题立场和政治参与的了解的影响主要是由沟通变量（包括新闻媒体使用，政治讨论）介导的。并辩论观看。通过将情绪作为中介和人际交流的前提，该研究扩展了基于情感智力理论的当前研究。同时，该研究在沟通调解过程中增加了情感，迄今为止，这种调解过程主要是从认知的角度进行的。为了测试在情感公民沟通模型中识别出的变量之间的关系，我依赖于为调查而收集的面板调查数据分别由美国国家选举研究（ANES）和国家安嫩伯格选举调查（NAES）进行的2008年和2004年美国总统选举。测试了两种类型的结构方程模型：横截面（用于关联个体差异）和自回归（用于关联跨波的总体变化）。结果表明，积极情绪激发了媒体的使用，而消极情绪激发了政治讨论，两种类型的沟通行为都会影响问题知识和参与竞选活动。此外，发现理论结构比交流变量导致正面和负面情绪的替代结构更好。因此，结果为提出的情感公民交流模型提供了有力的支持。还讨论了对提议模型的改进，与现有政治传播理论（如议程设置和党派选择性曝光）的联系以及未来研究的方向。

著录项

  • 作者

    Valenzuela, Sebastian.;

  • 作者单位

    The University of Texas at Austin.;

  • 授予单位 The University of Texas at Austin.;
  • 学科 Speech Communication.;Political Science General.;Mass Communications.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 198 p.
  • 总页数 198
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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