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引用次数: 0
摘要
在公共和修辞总统文学中,总统初选选区是一个相对缺乏研究的主题,人们对总统维持这一群体的策略知之甚少。近年来,总统们越来越多地通过电子邮件列表与核心支持者沟通,比如奥巴马总统的基层游说组织“组织美国行动”(Organizing for America/Action)所维护的电子邮件列表。本文使用无监督机器学习来分析OFA电子邮件的主题结构,并生成OFA通信中使用的总统演讲策略随时间混合的度量。将主题随时间变化(TOT)主题建模应用于组织为美国、奥巴马-拜登2012和组织为行动在七年期间发送的所有967封电子邮件的语料库,揭示了数据建议的5个主题,其中4个主题关注共同利益的基础,包括共同的党派和意识形态亲和力、共同的敌人、共同的问题承诺、共同的运动成员,以及一个关注总统声誉的主题。总统演讲策略的这些措施为总统在经济条件改善时采取更具包容性的策略来维持这一选区的假设提供了支持。
Primary Constituency-Focused Presidential Communication
The presidential primary constituency is a relatively understudied subject in the public and rhetorical presidency literature, and little is known about the strategies presidents use to maintain this group. In recent years presidents have increasingly communicated with core supporters through email lists, such as that maintained by Organizing for America/Action, President Obama’s grassroots lobbying organization. This paper uses unsupervised machine learning to analyze the topic structure of OFA emails and generate measures of the mixtures of presidential presentation strategies used in OFA communications over time. Application of Topics over Time (TOT) topic modeling to a corpus of all 967 emails sent by Organizing for America, Obama-Biden 2012, and Organizing for Action over a seven year period reveals 5 topics suggested by the data, with four focusing on bases of common interest, including shared partisan and ideological affinity, shared enemies, shared issue commitments, and shared movement membership, along with a topic focusing on the reputation of the president. These measures of presidential presentation strategies provide support for the hypothesis that presidents adopt more inclusive strategies for maintaining this constituency when economic conditions improve.