论文标题
评估增强的文本视觉整合对在数据故事中打击错误信息的影响
Evaluating the Effect of Enhanced Text-Visualization Integration on Combating Misinformation in Data Story
论文作者
论文摘要
错误信息会对我们的生活产生破坏性影响。许多研究人员已经研究了在文本或数据可视化中识别和打击错误信息的方法。但是，当将文本和可视化结合在一起以讲述数据故事时，仍然缺乏了解如何引入错误信息，更不用说如何提高公众对叙事可视化中对事实的可能误解的认识。在本文中，我们首先分析了可以通过文献调查将错误信息注入数据故事的生产消耗过程。然后，作为打击数据故事中错误信息的第一步，我们探讨了可能的防御设计方法，以提高读者对数据事实的脚本脚本和可视化时对信息错位的认识。更具体地说，我们进行了一项受试者之间的众包研究，以研究两种设计方法的影响，以增强文本视觉整合，即解释性注释和交互式链接对用户对数据故事中错误信息的认识。研究结果表明，尽管大多数参与者仍然找不到错误信息，但两种设计方法可以大大降低文本或可视化的可信度。我们的工作为通过防御设计方法抗击不良的可能性。
Misinformation has disruptive effects on our lives. Many researchers have looked into means to identify and combat misinformation in text or data visualization. However, there is still a lack of understanding of how misinformation can be introduced when text and visualization are combined to tell data stories, not to mention how to improve the lay public's awareness of possible misperceptions about facts in narrative visualization. In this paper, we first analyze where misinformation could possibly be injected into the production-consumption process of data stories through a literature survey. Then, as a first step towards combating misinformation in data stories, we explore possible defensive design methods to enhance the reader's awareness of information misalignment when data facts are scripted and visualized. More specifically, we conduct a between-subjects crowdsourcing study to investigate the impact of two design methods enhancing text-visualization integration, i.e., explanatory annotation and interactive linking, on users' awareness of misinformation in data stories. The study results show that although most participants still can not find misinformation, the two design methods can significantly lower the perceived credibility of the text or visualizations. Our work informs the possibility of fighting an infodemic through defensive design methods.
