用新模型分析华人媒体话题演变，揭示中国对欧选举的舆论影响
Context is Key(NMF): Modelling Topical Information Dynamics in Chinese Diaspora Media
- 基于Transformer的KeyNMF模型，可同时捕捉静态与动态话题
- 在5个新闻源数据上验证，有效追踪2024欧洲议会选举前的信息演变
- 适合关注国际舆论战、跨文化传播的研究者
中国是否通过海外华人媒体干预欧洲选举？本研究聚焦中国官方叙事在华人媒体中的传播路径，探索其舆论操控目标。为实现大规模高效分析，提出基于Transformer上下文嵌入的KeyNMF方法，用于静态与动态主题建模。在多个中文数据集上进行基准测试，结果表明该方法性能优异。进一步将KeyNMF与复杂系统信息动态分析方法结合，应用于5个新闻网站，覆盖2024年欧洲议会选举前的关键时期。实验验证了该方法在中文媒体信息动态研究中的有效性，为后续探讨更广泛议题奠定基础。
原文摘要 · Abstract (English)
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.
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