AGILE ETHICS FOR MASSIFIED RESEARCH AND VISUALIZATION
AGILE ETHICS FOR MASSIFIED RESEARCH AND VISUALIZATION
复制标题
大规模研究和可视化的敏捷道德
DOI：
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复制
发表时间：
2012
期刊：
影响因子：
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通讯作者：
Timothy Webmoor
中科院分区：
文献类型：
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作者：
Fabian Neuhaus;Timothy Webmoor
在本文中，作者通过讨论数据挖掘和社交媒体平台分析的出现，研究了数字研究环境的一些含义。随着聊天室、社交网站和微博服务等个人在线活动的兴起，社会科学研究的新知识库已经大量涌现。考虑到这类研究在数据挖掘和结果交流方面的规模变化，作者将这类研究称为“大规模研究”。本文认为，虽然这些新的海量数据集的私人和商业处理远非毫无问题，但学术从业者的使用对既定的道德协议提出了特殊的挑战。这包括研究人员和参与者之间的外部关系的重新配置，以及构成参与者、研究人员和数据身份的内部关系。因此，就这些问题而言，大规模研究及其产出在行为不明确的灰色地带运作。作者通过使用Twitter的公共应用程序编程接口进行研究和可视化的具体案例研究。最后，本文提出了一些潜在的最佳实践，以扩展此类大规模研究的当前程序和指导方针。最重要的是，作者在“敏捷伦理”的旗帜下开发了这些。作者最后提出了一个违反直觉的建议，即研究人员使自己像组成其数据集的主体一样容易受到潜在数据挖掘的影响：实践的平价。
In this paper, the authors examine some of the implications of born-digital research environments by discussing the emergence of data mining and the analysis of social media platforms. With the rise of individual online activity in chat rooms, social networking sites and micro-blogging services, new repositories for social science research have become available in large quantities. Given the changes of scale that accompany such research, both in terms of data mining and the communication of results, the authors term this type of research ‘massified research’. This article argues that while the private and commercial processing of these new massive data sets is far from unproblematic, the use by academic practitioners poses particular challenges with respect to established ethical protocols. These involve reconfigurations of the external relations between researchers and participants, as well as the internal relations that compose the identities of the participant, the researcher and that of the data. Consequently, massified research and its outputs operate in a grey area of undefined conduct with respect to these concerns. The authors work through the specific case study of using Twitter's public Application Programming Interface for research and visualization. To conclude, this article proposes some potential best practices to extend current procedures and guidelines for such massified research. Most importantly, the authors develop these under the banner of ‘agile ethics’. The authors conclude by making the counterintuitive suggestion that researchers make themselves as vulnerable to potential data mining as the subjects who comprise their data sets: a parity of practice.
全球研究 - 重塑科学和人文学科
DOI：
10.7551/mitpress/9780262014397.003.0032
发表时间：
2010
期刊：
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影响因子：
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作者：
De Roure D
通讯作者：
De Roure D
从数据存档到道德迷宫
影响因子：
3.6
作者：
Carusi A
通讯作者：
Carusi A