Suchergebnisse

Abstract
Following the Paris Agreement, states have submitted nationally determined contributions (NDCs) pledging how they aim to prevent dangerous climate change. These documents reveal how states translate the United Nations Framework Convention on Climate Change's (UNFCCC) normative expectations based on their domestic circumstances. We examine continuity and change between first and second NDCs with an inductive method of quantitative text analysis—topic modeling. Overall, these pledges rely on UNFCCC's norms, indicating the stability of the liberal order. Many norms are translated similarly in first and second NDCs. When states prioritize some norms over others, this continues to align with the annex divide, reflecting differences in domestic circumstances (e.g., vulnerability). Yet, some discourse coalitions also cut across this line. Two innovative translations stand out in the second NDCs: first, the low-carbon economy discourse adds a new spin to "liberal environmentalism," apparently driven by competition among higher-income countries, and second, interlinkages with the human rights regime point to successful transnational socialization in democratic states. These findings indicate potential directions for global climate politics.

Die Forschung zu internationalen Normdynamiken steht vor der Herausforderung, die Interpretationen von vielen verschiedenen Akteuren analytisch zu erfassen, um die Komplexität, Pluralität und auch den Wandel von Perspektiven in der globalen Politik darstellen zu können. Neuere Verfahren der quantitativen, computergestützten Textanalyse ermöglichen es, die Inhalte großer Textkorpora und damit viele Fälle parallel auszuwerten. Unser Papier stellt einen innovativen Ansatz vor, um eine Methode der quantitativen Textanalyse für die Normenforschung nutzbar zu machen. Unsupervised topic modeling ist eine induktiv-explorative Methode zum Auffinden von Mustern im Diskurs. Sie scheint uns besonders nützlich für Forschung zu Normübersetzung, bei der die Offenheit, die Fluidität und der Wandel von Normen im Mittelpunkt stehen. Am Beispiel der globalen Klimapolitik illustriert dieser Beitrag, wie die im internationalen Regime institutionalisierten Normen durch Mitgliedstaaten übersetzt werden. Wir diskutieren das Potenzial unseres Ansatzes und reflektieren auch die damit einhergehenden Herausforderungen.

AbstractWe present the interactive Leipzig Corpus Miner (iLCM), which is the result of the development of an integrated research environment for the analysis of text data. The key features of iLCM compared to existing software tools for computer-assisted text analysis are its flexibility and scalability. The tool includes functions to offer commonly needed methods for automatic processing of text, such as preprocessing, standard text analysis, and visualization, which would be very time consuming without a ready-to-use software tool. To also provide more methodological flexibility, the iLCM is not tied to one specific class of research question, but can easily be extended to other applications. In this article, we will focus on the capabilities and the aspects of adaptability, extensibility, and data exchange with other tools from the field of empirical content analysis. We will present the features of the iLCM and showcase individual examples and a case study that demonstrates the practical use of the tool.