Does the People's Republic of China (PRC) interfere with European elections through ethnic Chinese diaspora media? This question forms the basis of an ongoing research project exploring how PRC narratives about European elections are represented in Chinese diaspora media, and thus the objectives of PRC news media manipulation. In order to study diaspora media efficiently and at scale, it is necessary to use techniques derived from quantitative text analysis, such as topic modelling. In this paper, we present a pipeline for studying information dynamics in Chinese media. Firstly, we present KeyNMF, a new approach to static and dynamic topic modelling using transformer-based contextual embedding models. We provide benchmark evaluations to demonstrate that our approach is competitive on a number of Chinese datasets and metrics. Secondly, we integrate KeyNMF with existing methods for describing information dynamics in complex systems. We apply this pipeline to data from five news sites, focusing on the period of time leading up to the 2024 European parliamentary elections. Our methods and results demonstrate the effectiveness of KeyNMF for studying information dynamics in Chinese media and lay groundwork for further work addressing the broader research questions.

本研究探讨了中国人民共和国内部对欧洲选举的影响，尤其是通过华侨媒体传播的叙事。研究提出了一种新方法KeyNMF，用于静态和动态主题建模，并在多个中文数据集上展示了其竞争力。研究的主要发现表明，KeyNMF在分析华人媒体的信息动态方面有效，为后续研究奠定基础。

语境是关键(NMF)：建模华人 diaspora 媒体中的主题信息动态