PolicyFlow: Interpreting Policy Diffusion in Context
PolicyFlow: Interpreting Policy Diffusion in Context
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DOI：
10.1145/3385729
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发表时间：
2020-06-01
影响因子：
3.4
通讯作者：
Lin, Yu-Ru
中科院分区：
文献类型：
--
作者：
Ahn, Yongsu;Lin, Yu-Ru
社会、技术和金融体系的稳定，以及各组织跨境工作的能力，要求各司法管辖区的公共政策保持一致。法律和规章跨越政治界限的传播可以减少创新与一致性之间的紧张关系。几十年来，政策扩散一直是社会科学的焦点话题，但由于数据和计算能力的限制，研究人员还没有全面和数据密集型地研究扩散的总体，跨政策模式。这项工作结合了视觉分析、文本和网络分析，以帮助理解数字化文本中所代表的政策如何在各州传播。因此，我们的方法可以快速引导分析师逐步深入了解政策采用数据。我们评估我们的系统的有效性，通过案例研究与现实世界的政策数据集和领域专家的定性访谈。
Stability in social, technical, and financial systems, as well as the capacity of organizations to work across borders, requires consistency in public policy across jurisdictions. The diffusion of laws and regulations across political boundaries can reduce the tension that arises between innovation and consistency. Policy diffusion has been a topic of focus across the social sciences for several decades, but due to limitations of data and computational capacity, researchers have not taken a comprehensive and data-intensive look at the aggregate, cross-policy patterns of diffusion. This work combines visual analytics and text and network analyses to help understand how policies, as represented in digitized text, spread across states. As a result, our approach can quickly guide analysts to progressively gain insights into policy adoption data. We evaluate the effectiveness of our system via case studies with a real-world policy dataset and qualitative interviews with domain experts.