网络新闻影响的普遍模式（CS CY ）

• 2020 年 1 月 19 日
• 筆記

网络新闻可以迅速地影响到数百万人，但人们对控制其对公众影响的潜在动力规律知之甚少。通过分析从两家全国性新闻机构收集的数据，我们证明了在线新闻文章的影响动态没有表现出许多其他社会和信息系统中常见的流行模式。特别地，我们发现新闻评论数量遵循一个普遍的指数分布，这是由于缺乏无处不在的“富者愈富”机制。指数老化导致一个普遍的动态物品的影响。我们最终发现，在高影响力的文章面前，读者的集体注意力确实“延伸”了，从而有效地消除了文章之间可能存在的竞争。我们的发现挑战了广泛的受欢迎动态模式的普遍性，以及注意力经济的常见假设，表明有必要批判性地重新考虑集体注意力天生有限的假设。

原文题目：Universal patterns of online news impact

原文：Online news can quickly reach and affect millions of people, yet little is known about potential dynamical regularities that govern their impact on the public. By analyzing data collected from two nation-wide news outlets, we demonstrate that the impact dynamics of online news articles does not exhibit popularity patterns found in many other social and information systems. In particular, we find that the news comment count follows a universal exponential distribution which is explained by the lack of the otherwise omnipresent rich-get-richer mechanism. Exponential aging induces a universal dynamics of article impact. We finally find that the readers' collective attention does "stretch" in the presence of high-impact articles, thus effectively canceling possible competition among the articles. Our findings challenge the generality of widespread popularity dynamics patterns as well as common assumptions of attention economy, suggesting the need to critically reconsider the assumption that collective attention is inherently limited.

原文作者：Matúš Medo, Manuel S. Mariani, Linyuan Lü

原文地址：https://arxiv.org/abs/2001.05955