使用Storifier进行新闻文本可视化和细读

N. Sultanum, A. Bezerianos, Fanny Chevalier
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引用次数: 2

摘要

新闻调查通常需要围绕特定主题对大量文本进行分析和仔细研究。我们认为,这种做法可以从一种以文本和阅读为中心的新闻文本分析方法中受益,这种方法允许在感兴趣实体的概述、文本中这些实体的上下文以及从中提取的详细文件之间进行流畅的转换。在此背景下,我们介绍了Storifier的设计和开发,这是一个与一家大型法语新闻办公室密切合作创建的文本可视化工具。我们还讨论了一个案例研究,该案例研究如何使用我们的工具来分析文本集合并帮助发布故事。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Text Visualization and Close Reading for Journalism with Storifier
Journalistic inquiry often requires analysis and close study of large text collections around a particular topic. We argue that this practice could benefit from a more text- and reading-centered approach to journalistic text analysis, one that allows for a fluid transition between overview of entities of interest, the context of these entities in the text, down to the detailed documents they are extracted from. In this context, we present the design and development of Storifier, a text visualization tool created in close collaboration with a large francophone news office. We also discuss a case study on how our tool was used to analyze a text collection and helped publish a story.
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