美国的大规模枪击事件在增加吗?了解对政治事件的不同定义如何影响人们对可视化预期趋势的看法。

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING IEEE Computer Graphics and Applications Pub Date : 2024-07-01 DOI:10.1109/MCG.2024.3402790
Poorna Talkad Sukumar, Maurizio Porfiri, Oded Nov, Melanie Tory, Daniel Keefe
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引用次数: 0

摘要

媒体对美国大规模枪击事件的可视化报道会影响人们的观念和态度。然而,不同的数据源对大规模枪击事件使用各自的定义,导致不同数据源对这些事件的计数和趋势各不相同。为了调查这些不同的定义对公众看法的影响,我们利用来自四个来源的数据进行了一项众包研究--琼斯母亲、大规模枪击数据库、每镇枪支安全组织和《华盛顿邮报》。我们使用了一个或多个折线图,无论是否明确提供了定义,以了解这些变化如何影响观众对大规模枪击事件发生频率 10 年趋势的理解。我们发现,与研究前的看法相比,根据所显示的数据,参与者对趋势的看法会发生双向变化(即增加或减少)。我们讨论了单一来源的数据如何影响人们的看法,以及将多种来源的数据可视化(如叠加折线图)如何实现更透明的传播。我们的工作对其他媒体和公众可视化具有借鉴意义,强调了采用多元化调查方法的重要性,尤其是在处理具有重大意义和后果的数据时。
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Are Mass Shootings in the U.S. Increasing? Understanding How Differing Definitions of Politically Charged Events Impact People's Perceptions of Expected Trends in Visualizations.

Visualizations of mass shooting incidents in the United States appearing in the media can influence people's beliefs and attitudes. However, different data sources each use their own definition of mass shootings, resulting in varying counts and trends of these incidents across the sources. To investigate the effects of these varying definitions on public perceptions, we conducted a crowdsourced study using data from four sources-Mother Jones, Mass Shooter Database, Everytown for Gun Safety, and The Washington Post. We used one or more line plots, with or without explicitly providing the definition, to see how these variations affect viewers' understanding of a 10-year trend in mass shooting frequency. We found that, depending on the data shown, participants' perceptions of the trend changed in both directions (i.e., more or less increasing) compared to their prestudy perceptions. We discuss how data from a single source can influence people's perceptions, and how visualizing data from multiple sources (e.g., superimposed line graphs) can enable more transparent communication. Our work has implications for other media and public visualizations, highlighting the importance of embracing pluralistic approaches to enquiry, especially when dealing with data of significant importance and consequence.

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来源期刊
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications 工程技术-计算机:软件工程
CiteScore
3.20
自引率
5.60%
发文量
160
审稿时长
>12 weeks
期刊介绍: IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics, visualization, virtual and augmented reality, and HCI. From specific algorithms to full system implementations, CG&A offers a unique combination of peer-reviewed feature articles and informal departments. Theme issues guest edited by leading researchers in their fields track the latest developments and trends in computer-generated graphical content, while tutorials and surveys provide a broad overview of interesting and timely topics. Regular departments further explore the core areas of graphics as well as extend into topics such as usability, education, history, and opinion. Each issue, the story of our cover focuses on creative applications of the technology by an artist or designer. Published six times a year, CG&A is indispensable reading for people working at the leading edge of computer-generated graphics technology and its applications in everything from business to the arts.
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