议会提及网络反映芬兰政治话语的组织与动态

中文摘要 AI 辅助

议会讨论的主要目的是提出和辩论立法草案，对其他议员（MPs）的提及以及打断行为构成了政治话语的结构。姓名提及可在演讲文本中自动识别并关联到相关议员。我们基于芬兰议会2015-2018及2019-2022届选举任期内96753次演讲中的姓名提及构建议员网络，以研究议会讨论内的互动结构。结果显示，这些网络未出现两极分化，尽管存在略微偏向提及本党议员的倾向；议会会场活跃度、政治资历及部长身份与议员更高的中心性得分呈正相关。我们的分析可推广至不同政治领域，是区域议会或国家间比较的有趣基础。

英文摘要

The primary purpose of the parliamentary discussion is to present and debate legislative drafts. Mentions of other Members of the Parliament (MPs) and interruptions of them represent the structure of the political discourse. Name mentions can be automatically recognised in speech transcripts and linked to the relevant MPs. We construct networks of MPs based on name mentions in 96753 speeches delivered during the electoral terms 2015-2018 and 2019-2022 in the Finnish Parliament to study the structures of interaction within parliamentary discussion. The results show that the networks are not polarized, although there is slight bias towards mentioning one's own party members. Activity on the parliamentary floor, political seniority and minister status have a positive correlation with higher centrality scores of MPs. Our analysis is generalizable to different political arenas and is an interesting basis for comparison across regional assemblies or countries.

发表机构

• Aalto University（阿尔托大学）
• University of Helsinki（赫尔辛基大学）
• Kobe University（神户大学）

机构由 AI 辅助整理，请以论文原文为准。