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dc.contributor.authorZong, Jonathan
dc.contributor.authorMatias, J Nathan
dc.date.accessioned2023-11-06T19:26:53Z
dc.date.available2023-11-06T19:26:53Z
dc.identifier.issn2832-0565
dc.identifier.urihttps://hdl.handle.net/1721.1/152919
dc.description.abstractAmidst calls for public accountability over large data-driven systems, feminist and indigenous scholars have developed refusal as a practice that challenges the authority of data collectors. However, because data affects so many aspects of daily life, it can be hard to see seemingly different refusal strategies as part of the same repertoire. Furthermore, conversations about refusal often happen from the standpoint of designers and policymakers rather than the people and communities most affected by data collection. In this paper, we introduce a framework for data refusal from below—writing from the standpoint of people who refuse, rather than the institutions that seek their compliance. Because refusers work to reshape socio-technical systems, we argue that refusal is an act of design, and that design-based frameworks and methods can contribute to refusal. We characterize refusal strategies across four constituent facets common to all refusal, whatever strategies are used: autonomy, or how refusal accounts for individual and collective interests; time, or whether refusal reacts to past harm or proactively prevents future harm; power, or the extent to which refusal makes change possible; and cost, or whether or not refusal can reduce or redistribute penalties experienced by refusers. We illustrate each facet by drawing on cases of people and collectives that have refused data systems. Together, the four facets of our framework are designed to help scholars and activists describe, evaluate, and imagine new forms of refusal.en_US
dc.publisherACMen_US
dc.relation.isversionofhttps://doi.org/10.1145/3630107en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceAssociation for Computing Machineryen_US
dc.titleData Refusal From Below: A Framework for Understanding, Evaluating, and Envisioning Refusal as Designen_US
dc.typeArticleen_US
dc.identifier.citationZong, Jonathan and Matias, J Nathan. "Data Refusal From Below: A Framework for Understanding, Evaluating, and Envisioning Refusal as Design." ACM Journal on Responsible Computing.
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalACM Journal on Responsible Computingen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-11-01T07:58:50Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2023-11-01T07:58:50Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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