Voyagers and voyeurs: supporting social data analysis

Jeffrey Heer
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引用次数: 6

Abstract

In recent years, researchers and entrepreneurs have introduced new online services for data collection and analysis, often relying on interactive visualizations to enable mass interaction with data. These sites represent the first step in what looks to be a growing online phenomenon: social data analysis, that is, collective analysis of data supported by social interaction. Engaging crowds of both experts and non-experts in the process of data exploration has applications ranging from political transparency to business intelligence to citizen science. Achieving this vision, however, will require further innovation in the design of systems for collaborative data management. In this talk, I will highlight recent efforts to use the web as a platform for collectively creating, managing, and analyzing data. I will share how web citizens are collaborating with data, and discuss how we might design systems to catalyze social forms of data management and exploration.
旅行者和偷窥者:支持社会数据分析
近年来,研究人员和企业家引入了新的在线服务,用于数据收集和分析,通常依赖于交互式可视化来实现与数据的大规模交互。这些网站代表了一个看起来正在增长的网络现象的第一步:社交数据分析,即由社交互动支持的数据的集体分析。在数据探索的过程中,让专家和非专家都参与进来,其应用范围从政治透明度到商业智能再到公民科学。然而,要实现这一愿景,需要在协作数据管理系统的设计上进一步创新。在这次演讲中,我将重点介绍最近在使用网络作为共同创建、管理和分析数据的平台方面所做的努力。我将分享网络公民如何与数据合作,并讨论我们如何设计系统来促进数据管理和探索的社会形式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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