Adaptive spatial hypermedia in computational journalism

Luis Francisco-Revilla, Á. Figueira
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引用次数: 2

Abstract

Computational journalism allows journalists to collect large collections of information chunks from separate sources. The analysis of these collections can reveal hidden relationships between of relationships, but due to their size, diversity, and varying nuances it is necessary to use both computational and human analysis. Breadcrumbs PDL is an adaptive spatial hypermedia system that brings together human cognition and machine computation in order to analyze a collection of user-generated news clips. The project demonstrates the effectiveness of spatial hypermedia in the domain of computational journalism.
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计算新闻中的自适应空间超媒体
计算新闻允许记者从不同的来源收集大量的信息块。对这些集合的分析可以揭示这些关系之间隐藏的关系,但是由于它们的大小、多样性和不同的细微差别,有必要同时使用计算和人工分析。面包屑PDL是一个自适应空间超媒体系统,它将人类认知和机器计算结合在一起,以分析用户生成的新闻片段集合。该项目展示了空间超媒体在计算新闻领域的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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