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Visual brokerage: Communicating data and research through visualisation

机译:视觉经纪:通过可视化交流数据和研究

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摘要

Researchers increasingly use visualisation to make sense of their data and communicate findings more widely. But these are not necessarily straightforward processes. Theories of knowledge brokerage show how sociopolitical contexts and intermediary organisations that translate research for public audiences shape how users engage with evidence. Applying these ideas to data visualisation, I argue that several kinds of brokers (such as data collectors, designers and intermediaries) link researchers and audiences, contributing to the ways that people engage with visualisations. To do this, I draw on qualitative focus groups that elicited non-academic viewers’ reactions to visualisations of data about UK migration. The results reveal two important features of engagement: perceptions of brokers’ credibility and feelings of surprise arising from visualisations’ content and design. I conclude by arguing that researchers, knowledge brokers and the public produce – as well as operate within – a complex visualisation space characterised by mutual, bi-directional connections.
机译:研究人员越来越多地使用可视化来理解其数据并更广泛地交流发现结果。但是这些不一定是简单的过程。知识经纪理论表明,社会政治环境和中介组织如何将研究成果转化为公众听众,从而塑造用户如何利用证据。将这些想法应用于数据可视化,我认为几种经纪人(例如数据收集者,设计师和中介)将研究人员和受众联系在一起,从而为人们进行可视化互动做出了贡献。为此,我利用定性焦点小组,这些小组引起了非学术观众对有关英国移民的数据可视化的反应。结果揭示了敬业度的两个重要特征:对经纪人信誉的感知以及可视化内容和设计带来的惊喜感。最后,我认为研究人员,知识经纪人和公众会在一个以相互双向连接为特征的复杂可视化空间中产生并在其中运行。

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