Exploiting affinities between topic modeling and the sociological perspective on culture: Application to newspaper coverage of US government arts funding
Exploiting affinities between topic modeling and the sociological perspective on culture: Application to newspaper coverage of US government arts funding
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DOI：
10.1016/j.poetic.2013.08.004
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发表时间：
2013-12-01
期刊：
影响因子：
2.5
通讯作者：
Blei, David
中科院分区：
文献类型：
--
作者：
DiMaggio, Paul;Nag, Manish;Blei, David
主题建模提供了一种有价值的方法，用于识别围绕社会机构或政策领域的语言环境。本文使用潜在狄利克雷分配（LDA）分析如何这样一个政策领域，政府援助艺术家和艺术组织，在近8000篇文章的框架。这些包括1986年至1997年期间发表在五家美国报纸上的所有提及政府对美国艺术的支持的文章-在此期间，这种援助，曾经没有争议，成为争论的焦点。我们说明了主题建模的优势，作为一种手段，分析大型文本语料库，讨论了适当的选择模型和模型结果的解释，描述了验证主题模型解决方案的方法，并演示了使用主题模型结合其他统计工具来估计报纸之间的差异，在不同的框架流行。自始至终，我们强调主题建模方法与文化研究中的框架、多义性、杂语和意义的关系等中心概念之间的密切关系。(C)2013爱思唯尔有限公司版权所有。
Topic modeling provides a valuable method for identifying the linguistic contexts that surround social institutions or policy domains. This article uses Latent Dirichlet Allocation (LDA) to analyze how one such policy domain, government assistance to artists and arts organizations, was framed in almost 8000 articles. These comprised all articles that referred to government support for the arts in the U.S. published in five U.S. newspapers between 1986 and 1997-a period during which such assistance, once noncontroversial, became a focus of contention. We illustrate the strengths of topic modeling as a means of analyzing large text corpora, discuss the proper choice of models and interpretation of model results, describe means of validating topic-model solutions, and demonstrate the use of topic models in combination with other statistical tools to estimate differences between newspapers in the prevalence of different frames. Throughout, we emphasize affinities between the topic-modeling approach and such central concepts in the study of culture as framing, polysemy, heteroglossia, and the relationality of meaning. (C) 2013 Elsevier B.V. All rights reserved.