News and news recommender systems play a central role in shaping how people understand and interpret the world. Recent advances in generative AI have opened up new possibilities for content creation, personalization, multimodal analysis and interaction. While these technologies enhance automation and efficiency in news production and recommendation, they also introduce risks such as inconsistencies, misinformation, opinion polarization, and declining user trust. At the same time, the growing technical complexity of these methods, together with diverging regulatory requirements for fairness, transparency, and accountability in AI systems, poses significant challenge for news recommendation. The 14th International Workshop on News Recommendation and Analytics (INRA) serves as a dedicated venue for researchers and practitioners from various disciplines to share insights and explore how human-centered approaches can address this challenge by providing fair, transparent, sustainable and user-respecting news recommendations.

Personalization has changed how we engage with news. While information has become better accessible, users struggle to find information in the vast amount of news and news commentary published on a daily basis. The INRA workshop provides a forum to researchers, practitioners, and interested parties to discuss recent trends concerning news personalization. This edition of INRA highlights a variety of topics including generative AI, fake news, and multi-modality. Generative AI facilitates creating content at a rapid pace. That includes misleading information that can further erode the trust in media organizations. Texts and still images have dominated the era of printed news. Now, news organizations publish their information also in the form of podcasts and videos.