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dc.contributor.authorBalazka, Dominik
dc.contributor.authorRodighiero, Dario
dc.date.accessioned2020-12-18T21:24:41Z
dc.date.available2020-12-18T21:24:41Z
dc.date.issued2020-09
dc.date.submitted2019-11
dc.identifier.issn2624-909X
dc.identifier.urihttps://hdl.handle.net/1721.1/128865
dc.description.abstractStarting from an analysis of frequently employed definitions of big data, it will be argued that, to overcome the intrinsic weaknesses of big data, it is more appropriate to define the object in relational terms. The excessive emphasis on volume and technological aspects of big data, derived from their current definitions, combined with neglected epistemological issues gave birth to an objectivistic rhetoric surrounding big data as implicitly neutral, omni-comprehensive, and theory-free. This rhetoric contradicts the empirical reality that embraces big data: (1) data collection is not neutral nor objective; (2) exhaustivity is a mathematical limit; and (3) interpretation and knowledge production remain both theoretically informed and subjective. Addressing these issues, big data will be interpreted as a methodological revolution carried over by evolutionary processes in technology and epistemology. By distinguishing between forms of nominal and actual access, we claim that big data promoted a new digital divide changing stakeholders, gatekeepers, and the basic rules of knowledge discovery by radically shaping the power dynamics involved in the processes of production and analysis of data.en_US
dc.publisherFrontiersen_US
dc.relation.isversionofhttps://doi.org/10.3389/fdata.2020.00031en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceFrontiersen_US
dc.titleBig Data and the Little Big Bang: An Epistemological (R)evolutionen_US
dc.typeArticleen_US
dc.identifier.citationBalazka, Dominik and Dario Rodighiero. "Big Data and the Little Big Bang: An Epistemological (R)evolution." Frontiers in Big Data 3 (September 2020): 31 © 2020 Balazka and Rodighieroen_US
dc.contributor.departmentMIT Comparative Media Studies/Writingen_US
dc.relation.journalFrontiers in Big Dataen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.date.submission2020-09-18T17:44:50Z
mit.journal.volume3en_US
mit.licensePUBLISHER_CC


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