News Frame Analysis: An Inductive Mixed-method Computational Approach
News Frame Analysis: An Inductive Mixed-method Computational Approach
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DOI：
10.1080/19312458.2019.1639145
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发表时间：
2019-07-25
影响因子：
11.4
通讯作者：
Ophir, Yotam
中科院分区：
文献类型：
--
作者：
Walter, Dror;Ophir, Yotam
框架理论是传播学研究中最核心、最适用、也最具争议的理论之一。关于框架的辩论的核心是实施和衡量重点框架的问题。我们利用新的计算方法提出了一种新的帧的归纳识别方法。我们论证了可以使用主题建模来识别框架元素，然后使用应用于主题网络的社区检测技术将框架元素自动分组到框架“包”中。基于框架研究中最近概念和方法上的发展，我们引入了一种新的方法，主题模型网络分析（ANTMN）。我们使用三种不同的美国新闻语料库：参议院竞选中的政治候选人的报道（n = 8,337篇文章），外国（n = 18,216篇），以及传染病和流行病（n = 5,005篇），证明了我们的方法在框架理论发展和相当一致的案例研究和探索性研究中的适用性。最后，我们讨论了ANTMN的理论、方法和实践意义。
Framing is one of the most central, applicable, and contested theories in communication research. At the heart of the debate on framing is the question of operationalizing and measuring emphasis frames. We harness novel computational took to propose a new method for inductive identification of frames. We argue and demonstrate that frame elements could be identified using topic modeling, and that frame elements can then be automatically grouped into frame "packages" using community detection techniques applied to the topic network. Building upon recent conceptual and methodological developments in framing research, we introduce a new approach, the Analysis of Topic Model Networks (ANTMN). We demonstrate the applicability of our method in case studies where framing theory is developed and fairly consistent, and in exploratory ones where it is not, using three diverse U.S. news corpora: the coverage of political candidates in Senate races (n = 8,337 articles), foreign nations (n = 18,216), and infectious diseases and epidemics (n = 5,005). We conclude by discussing the theoretical, methodological, and practical implications of ANTMN.