标题： 新闻推荐器中的公民真实情况：一种公共价值评分方法 显示英文标题

标题： Civic Ground Truth in News Recommenders: A Method for Public Value Scoring

摘要： 在新闻推荐系统（NRS）中的研究继续探索将规范性目标，如编辑目标和公共服务价值，整合到现有系统中的最佳方法。 先前的努力已结合专家输入或受众反馈来量化这些价值，为更具公民意识的推荐系统奠定了基础。 本文为此研究轨迹做出了贡献，介绍了一种通过大规模、结构化的受众评估将公民价值嵌入NRS的方法。 所提出的公民真实数据方法旨在通过全国有代表性的调查生成基于价值的标签，并通过自动元数据增强，在更广泛的新闻语料库中实现可推广性。 显示英文摘要

摘要： Research in news recommendation systems (NRS) continues to explore the best ways to integrate normative goals such as editorial objectives and public service values into existing systems. Prior efforts have incorporated expert input or audience feedback to quantify these values, laying the groundwork for more civic-minded recommender systems. This paper contributes to that trajectory, introducing a method for embedding civic values into NRS through large-scale, structured audience evaluations. The proposed civic ground truth approach aims to generate value-based labels through a nationally representative survey that are generalisable across a wider news corpus, using automated metadata enrichment.