核叙事的话语网络分析

Kuhika Gupta, J. Ripberger, Andrew Fox, H. Jenkins‐Smith, Carol L. Silva
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引用次数: 1

摘要

本研究结合了话语网络分析(DNA)和叙事政策框架(NPF)的见解,开发了一种研究政策联盟内部和跨政策联盟的叙事话语的新方法。这种方法有助于考察叙事凝聚力,这可能会影响联盟的稳定性和叙事话语对政策变化的影响。我们通过使用它来研究Twitter上支持和反对在美国扩大核能的政策参与者群体内部和跨群体的元叙事,从而证明了该方法的价值。该方法揭示了使用更常见的叙事政策分析方法不太可能看到的各种模式。最值得注意的是,在两个群体中都有叙事凝聚力的迹象,但也有轻微的裂痕,这可能表明与不同成员沟通的战略努力或威胁群体稳定的断层线。这些发现为未来研究叙事凝聚力与政策结果之间的关系奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discourse Network Analysis of Nuclear Narratives
This study combines insight from discourse network analysis (DNA) and the Narrative Policy Framework (NPF) to develop a new approach to studying narrative discourse within and across policy coalitions. The approach facilitates examination of narrative cohesion, which may impact the stability of coalitions and the impact of narrative discourse on policy change. We demonstrate the value of the approach by using it to study meta narratives on Twitter within and across groups of policy actors who support and oppose the expansion of nuclear energy in the United States. The approach reveals a variety of patterns that are unlikely to be seen using more common approaches to narrative policy analysis. Most notably, there were signs of narrative cohesion within both groups, but there were also slight fissures that may indicate strategic efforts to communicate with different constituents or fault lines that threaten group stability. These findings set the stage for future work on the relationship between narrative cohesion and policy outcomes.
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