走向公平的参与式设计:多重流行病中CSCW的数据女权主义

C. D’Ignazio, E. Graeff, Christina N. Harrington, D. Rosner
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引用次数: 12

摘要

与许多其他学术团体一样,CSCW正在考虑其在2020年多次2019冠状病毒病大流行、反黑人种族主义和全球经济危机中的作用、责任和做法。用数据和社区来回顾我们的工作,要求我们解决由监督或算法偏见造成的过度曝光和由参与性和公平性不足的设计造成的曝光不足造成的危害。本次研讨会将引出与社区合作的设计和数据工作的好与坏的叙述,将公平参与式设计和数据女权主义的镜头应用于当前的CSCW项目和我们的全球背景,并为支持学者和从业者追求民主和公正的伙伴关系制定实际产出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward Equitable Participatory Design: Data Feminism for CSCW amidst Multiple Pandemics
CSCW, like many other academic communities, is reckoning with its roles, responsibilities, and practices amidst 2020's multiple pandemics of COVID-19, anti-Black racism, and a global economic crisis. Reviewing our work with data and communities demands we address harms from overexposure caused by surveillance or algorithmic bias and from underexposure caused by design that is insufficiently participatory and equitable. This workshop will elicit narratives of good and bad design and data work with communities, apply the lenses of equitable participatory design and data feminism to current CSCW projects and our global context, and develop practical outputs for supporting academics and practitioners in pursuit of democratic and just partnerships.
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