This paper examines how the European press dealt with the no-vax reactions against the Covid-19 vaccine and the dis- and misinformation associated with this movement. Using a curated dataset of 1786 articles from 19 European newspapers on the anti-vaccine movement over a period of 22 months in 2020-2021, we used Natural Language Processing techniques including topic modeling, sentiment analysis, semantic relationship with word embeddings, political analysis, named entity recognition, and semantic networks, to understand the specific role of the European traditional press in the disinformation ecosystem. The results of this multi-angle analysis demonstrate that the European well-established press actively opposed a variety of hoaxes mainly spread on social media, and was critical of the anti-vax trend, regardless of the political orientation of the newspaper. This confirms the relevance of studying the role of high-quality press in the disinformation ecosystem.

翻译：本文探讨了欧洲新闻界如何处理针对新冠疫苗的“拒绝疫苗”反应，以及与此运动相关的虚假和错误信息。我们利用2020-2021年期间22个月内来自19家欧洲报纸的1786篇关于反疫苗运动的精选数据集，应用自然语言处理技术，包括主题建模、情感分析、词嵌入语义关系、政治分析、命名实体识别和语义网络，来理解欧洲传统媒体在虚假信息生态系统中的具体作用。多角度分析结果表明，欧洲主流媒体积极抵制主要在社会媒体上传播的各种谣言，并对反疫苗趋势持批评态度，无论报纸的政治倾向如何。这证实了研究高质量媒体在虚假信息生态系统中作用的相关性。