Tools such as Google News and Flipboard exist to convey daily news, but what about the past? In this paper, we describe how to combine several existing tools with web archive holdings to perform news analysis and visualization of the "biggest story" for a given date. StoryGraph clusters news articles together to identify a common news story. Hypercane leverages ArchiveNow to store URLs produced by StoryGraph in web archives. Hypercane analyzes these URLs to identify the most common terms, entities, and highest quality images for social media storytelling. Raintale then uses the output of these tools to produce a visualization of the news story for a given day. We name this process SHARI (StoryGraph Hypercane ArchiveNow Raintale Integration).
翻译:Google News 和 Flipboard等工具可以传达每日新闻,但过去如何呢?在本文中,我们描述了如何将一些现有工具与网络档案库收藏结合起来,对某个特定日期的“大故事”进行新闻分析和可视化。ToryGraph 集成新闻文章,以识别一个共同的新闻故事。超cane 利用档案库将StoryGraph 制作的URL 储存在网络档案中。超cane 分析这些URL, 以确定最常用的术语、 实体和最高质量的社交媒体故事图像。 Raintale 然后利用这些工具的输出来为某一天的新闻报道提供可视化。 我们命名此进程( SyGraph 超cane Cage Now Raintale 整合 ) 。