分析12万篇新闻，发现灾难事件报道有固定的传播模式。
Tracking the Temporal Dynamics of News Coverage of Catastrophic and Violent Events
- 用文章数量、语义变化等指标追踪新闻叙事演变
- 重大事件报道先暴增后缓慢回落，语义早期快速漂移
- 识别出推动报道周期的关键关键词
现代新闻周期因线上信息快速传播而发生根本性转变。随着新信息、政治回应和社会反应的不断涌现，媒体框架动态变化。理解这些叙事如何形成、传播和演变，对解读危机时刻的公共话语至关重要。本研究利用来自在线出版商的126,602篇新闻文章大规模语料库，考察暴力与灾难事件报道的时间与语义动态。通过发布量、语义漂移、语义分散度和词项相关性量化叙事变化。结果表明，突发重大事件的报道呈现结构化且可预测的新闻周期模式：报道量迅速激增，早期出现明显语义漂移，随后逐步回落至基线水平。此外，研究识别出驱动这些时间模式的关键术语。
原文摘要 · Abstract (English)
The modern news cycle has been fundamentally reshaped by the rapid exchange of information online. As a result, media framing shifts dynamically as new information, political responses, and social reactions emerge. Understanding how these narratives form, propagate, and evolve is essential for interpreting public discourse during moments of crisis. In this study, we examine the temporal and semantic dynamics of reporting for violent and catastrophic events using a large-scale corpus of 126,602 news articles collected from online publishers. We quantify narrative change through publication volume, semantic drift, semantic dispersion, and term relevance. Our results show that sudden events of impact exhibit structured and predictable news-cycle patterns characterized by rapid surges in coverage, early semantic drift, and gradual declines toward the baseline. In addition, our results indicate the terms that are driving the temporal patterns.
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