Analyzing news coverage in multilingual societies can offer valuable insights into the dynamics of public discourse and the development of collective narratives, yet comprehensive studies that account for linguistic and cultural diversity within national media ecosystems remain limited, particularly in complex contexts such as Switzerland. This paper studies temporal trends in Swiss digital media across the country's three main linguistic regions, French, German, and Italian, using a triangulated methodology that combines quantitative analyses with qualitative insights. We collected and processed over 1.7 million news articles, applying lexical metrics, named entity recognition and Wikidata-based linking, targeted sentiment analysis, and consensus-based change-point detection. To enable principled cross-language comparisons and to connect to theories of domestication and cultural proximity, we derive domestication profiles together with a proximity salience ratio. Our analysis spans thematic, recurrent, and singular events. By integrating quantitative data with qualitative interpretation, we provide new insights into the dynamics of Swiss digital media and demonstrate the usefulness of triangulation in media studies. The findings reveal distinct temporal patterns and highlight how linguistic and cultural contexts influence reporting. Our approach offers a framework applicable to other multilingual or culturally diverse media environments, contributing to a deeper understanding of how news is shaped by linguistic and cultural factors.

翻译：分析多语种社会中的新闻报道可为了解公共话语动态和集体叙事的发展提供宝贵见解，但涵盖国家媒体生态系统内语言和文化多样性的综合性研究仍然有限，尤其在瑞士这类复杂背景下。本文采用融合定量分析与定性洞察的三角化方法，研究瑞士三大语言区（法语、德语、意大利语）数字媒体的时间趋势。我们收集并处理了超过170万篇新闻文章，应用词汇指标、命名实体识别与基于维基百科的知识库链接、针对性情感分析以及基于共识的变点检测。为实现原则性跨语言比较并关联本土化与文化接近性理论，我们推导出本土化画像及接近性显著比率。分析涵盖主题性事件、重复性事件与独特性事件。通过整合定量数据与定性阐释，我们为瑞士数字媒体动态提供了新见解，并展示了三角化方法在媒体研究中的效用。研究发现揭示了显著的时间模式，凸显语言与文化语境如何影响新闻报道。我们的研究框架可适用于其他多语种或文化多样性媒体环境，有助于深化理解新闻如何受语言和文化因素形塑。