Article:
Making big data, in theory

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dc.creatorBoellstorff, Tom
dc.date.accessioned2020-07-30T09:30:08Z
dc.date.available2020-07-30T09:30:08Z
dc.date.issued2013
dc.description.abstractIn this paper, I explore four conceptual interventions that can contribute to the “big theory” sorely needed in regard to big data. This includes temporality and the possibilities of “dated theory,” the implicit histories of the meta- prefix shaping notions of metadata, “the dialectic of surveillance and recognition,” and questions of interpretation understood in terms of “rotted data” and “thick data.” In developing these concepts, I seek to expand frameworks for addressing issues of time, context, and power. It is vital that a vibrant theoretical discussion shape emerging regimes of “big data,” as these regimes are poised to play an important role regarding the mutual constitution of technology and society.en
dc.identifier.doi10.5210/fm.v18i10.4869
dc.identifier.doihttp://dx.doi.org/10.25969/mediarep/14020
dc.identifier.urihttps://escholarship.org/uc/item/0ds9b7pr
dc.identifier.urihttps://mediarep.org/handle/doc/14976
dc.languageeng
dc.publisher.placeChicago
dc.relation.isPartOfissn:1396-0466
dc.relation.ispartofseriesfirst monday
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectBig Dataen
dc.subjectMetadataen
dc.subjectData Theoryen
dc.subjectTechnologyen
dc.subjectSocietyen
dc.subject.ddcddc:004
dc.titleMaking big data, in theoryen
dc.typearticle
dc.type.statuspublishedVersion
dspace.entity.typeArticleen
local.coverpage2021-05-29T01:00:32
local.identifier.firstpublishedhttps://doi.org/10.5210/fm.v18i10.4869
local.source.issue10
local.source.volume18

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