Article:
Big Data and the Paradox of Diversity

dc.creatorRieder, Bernhard
dc.date.accessioned2018-09-25T15:13:19Z
dc.date.available2018-09-25T15:13:19Z
dc.date.issued2016
dc.description.abstractThis paper develops a critique of Big Data and associated analytical techniques by focusing not on errors – skewed or imperfect datasets, false positives, underrepresentation, and so forth – but on data mining that works. After a quick framing of these practices as interested readings of reality, I address the question of how data analytics and, in particular, machine learning reveal and operate on the structured and unequal character of contemporary societies, installing “economic morality” (Allen 2012) as the central guiding principle. Rather than critiquing the methods behind Big Data, I inquire into the way these methods make the many differences in decentred, non-traditional societies knowable and, as a consequence, ready for profitable distinction and decision-making. The objective, in short, is to add to our understanding of the “profound ideological role at the intersection of sociality, research, and commerce” (van Dijck 2014: 201) the collection and analysis of large quantities of multifarious data have come to play. Such an understanding needs to embed Big Data in a larger, more fundamental critique of the societal context it operates in.en
dc.identifier.doi10.25969/mediarep/977
dc.identifier.urihttp://digicults.org/files/2018/01/Bernhard-Rieder_Paradox-of-diversity.pdf
dc.identifier.urihttps://mediarep.org/handle/doc/3165
dc.languageeng
dc.publishertranscript
dc.publisher.placeBielefeld
dc.relation.isPartOfissn:2364-2114
dc.relation.ispartofseriesDigital Culture & Society
dc.rightsCreative Commons Attribution Non Commercial No Derivatives 4.0 Generic
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectBig Dataen
dc.subjectanalytical techniquesen
dc.subjectdigital methodsen
dc.subjectdata analysisen
dc.subjectdata miningen
dc.subjectMassendatende
dc.subjectanalytische Technikende
dc.subjectdigitale Methodende
dc.subjectDatenanalysede
dc.subjectData-Miningde
dc.subject.ddcddc:005
dc.titleBig Data and the Paradox of Diversityde
dc.typearticle
dc.type.statuspublishedVersion
dcterms.bibliographicCitationRieder, Bernhard (2016): Big Data and the Paradox of Diversity. In: Digital Culture & Society 2 (2), S. 39–54. DOI: http://dx.doi.org/10.25969/mediarep/977.
dspace.entity.typeArticleen
local.coverpage2021-05-29T02:31:04
local.identifier.firstpublishedhttp://digicults.org/files/2018/01/Bernhard-Rieder_Paradox-of-diversity.pdf
local.source.epage54
local.source.issue2
local.source.spage39
local.source.volume2
local.subject.gndhttps://d-nb.info/gnd/4802620-7
local.subject.gndhttps://d-nb.info/gnd/4123037-1
local.subject.gndhttps://d-nb.info/gnd/4428654-5
local.subject.wikidatahttps://www.wikidata.org/wiki/Q858810
local.subject.wikidatahttps://www.wikidata.org/wiki/Q1988917
local.subject.wikidatahttps://www.wikidata.org/wiki/Q172491

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