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，能为公共话语动态和集体叙事发展提供宝贵见解，但系统考量国家媒体生态系统中语言和文化多样性的综合性研究仍十分有限，尤其在瑞士这类复杂语境中尤为突出。本文采用结合定量分析与定性洞察的三角测量方法，研究了瑞士三大语言区（法语、德语、意大利语）数字媒体的时间趋势。我们收集并处理了逾170万篇新闻文章，运用词汇指标、命名实体识别与维基数据关联、定向情感分析以及共识性变点检测方法。为实现原则性跨语言比较并关联本土化与文化邻近性理论，我们推导出本土化概况及邻近显著性比率。分析涵盖主题性事件、常规性事件和独特事件维度。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，并论证了三角测量法在媒体研究中的实用性。研究结果揭示了显著的时间模式，凸显语言文化背景对报道倾向的影响。该方法框架可适用于其他多语种或文化多元的媒体环境，有助于深化理解新闻如何受语言文化因素塑造。