Discourse network analysis: policy debates as dynamic networks
Discourse network analysis: policy debates as dynamic networks
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话语网络分析：作为动态网络的政策辩论
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Philip Leifeld
中科院分区：
文献类型：
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作者：
Philip Leifeld
政治语篇是政治行动者之间的言语互动。政治行动者对政策的规范性主张是以彼此为条件的。这使得话语成为一种动态的网络现象。因此，可以结合内容分析和动态网络分析来分析政策辩论的结构和动态。在对文本源中的行为者的陈述进行注释之后，可以从这些结构化数据创建网络，例如行为者或概念级别的一致或冲突网络，行为者和概念立场的隶属网络，以及这些网络的纵向版本。由此产生的网络数据揭示了辩论的重要属性，如倡导联盟或话语联盟的结构，极化和共识的形成，以及潜在的内生过程，如流行，互惠或社会平衡。话语网络分析相对于基于调查的政策网络研究的附加价值在于，可以从纵向角度分析政策过程。正在开发用于理解支配政治话语的微观过程的推理技术。
Political discourse is the verbal interaction between political actors. Political actors make normative claims about policies conditional on each other. This renders discourse a dynamic network phenomenon. Accordingly, the structure and dynamics of policy debates can be analyzed with a combination of content analysis and dynamic network analysis. After annotating statements of actors in text sources, networks can be created from these structured data, such as congruence or conflict networks at the actor or concept level, affiliation networks of actors and concept stances, and longitudinal versions of these networks. The resulting network data reveal important properties of a debate, such as the structure of advocacy coalitions or discourse coalitions, polarization and consensus formation, and underlying endogenous processes like popularity, reciprocity, or social balance. The added value of discourse network analysis over survey-based policy network research is that policy processes can be analyzed from a longitudinal perspective. Inferential techniques for understanding the micro-level processes governing political discourse are being developed.