Data-driven stories comprise of visualizations and a textual narrative. The two representations coexist and complement each other. Although existing research has explored the design strategies and structure of such stories, it remains an open research question how the two representations play together on a detailed level and how they are linked with each other. In this paper, we aim at understanding the fine-grained interplay of text and visualizations in geographic data-driven stories. We focus on geographic content as it often includes complex spatiotemporal data presented as versatile visualizations and rich textual descriptions. We conduct a qualitative empirical study on 22 stories collected from a variety of news media outlets; 10 of the stories report the COVID-19 pandemic, the others cover diverse topics. We investigate the role of every sentence and visualization within the narrative to reveal how they reference each other and interact. Moreover, we explore the positioning and sequence of various parts of the narrative to find patterns that further consolidate the stories. Drawing from the findings, we discuss study implications with respect to best practices and possibilities to automate the report generation.

中文翻译：

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更深入地理解地理数据驱动故事中的可视化-文本相互作用

数据驱动的故事包括可视化和文本叙述。两种表示方式并存，相辅相成。尽管现有研究已经探索了此类故事的设计策略和结构，但这仍然是一个开放的研究问题，这两种表现如何在详细级别上共同发挥作用以及它们如何相互联系。在本文中，我们旨在了解地理数据驱动的故事中文本和可视化的细粒度相互作用。我们专注于地理内容，因为它通常包括复杂的时空数据，以多功能可视化和丰富的文本描述形式呈现。我们对从各种新闻媒体收集的 22 个故事进行了定性实证研究；其中 10 个故事报道了 COVID-19 大流行，其他故事涵盖了不同的主题。我们调查每个句子和可视化在叙述中的作用，以揭示它们如何相互引用和相互作用。此外，我们探索叙事各个部分的定位和顺序，以找到进一步巩固故事的模式。根据调查结果，我们讨论了有关最佳实践和自动化报告生成可能性的研究意义。