分析新闻首页布局，揭示媒体信息优先级的隐性规则。
NewsHomepages: Homepage Layouts Capture Information Prioritization Decisions
- 构建3000+新闻网站首页数据集，捕捉信息排列规律。
- 通过对比模型推断新闻条目相对重要性，准确率超基准方法。
- 可迁移至政策评估，帮助识别具有新闻价值的公共议题。
信息优先级在人类理解世界中起关键作用，而新闻网站首页布局正是这一优先级的直观体现。本文提出NewsHomepages，一个包含超过3,000个新闻网站主页的大规模数据集，覆盖本地、全国及主题类媒体，历时三年每天抓取两次。我们开发了成对比较模型，用于推断新闻条目的相对重要性。为验证该方法的普适性，将其应用于旧金山十年间通过的地方城市议会政策，评估其“新闻价值”。研究结果为利用组织内部的隐性线索，深入理解信息优先机制提供了基础。
原文摘要 · Abstract (English)
Information prioritization plays an important role in how humans perceive and understand the world. Homepage layouts serve as a tangible proxy for this prioritization. In this work, we present NewsHomepages, a large dataset of over 3,000 new website homepages (including local, national and topic-specific outlets) captured twice daily over a three-year period. We develop models to perform pairwise comparisons between news items to infer their relative significance. To illustrate that modeling organizational hierarchies has broader implications, we applied our models to rank-order a collection of local city council policies passed over a ten-year period in San Francisco, assessing their "newsworthiness". Our findings lay the groundwork for leveraging implicit organizational cues to deepen our understanding of information prioritization.
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