Zemblanity and Big Data: the ugly truths the algorithms remind us of

Detalhes bibliográficos
Autor(a) principal: Cavassane, Ricardo Peraça
Data de Publicação: 2022
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta Scientiarum. Human and Social Sciences (Online)
Texto Completo: https://periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/62246
Resumo: In this paper, we will argue that, while Big Data enthusiasts imply that the analysis of massive data sets can produce serendipitous (that is, unexpected and fortunate) discoveries, the way those models are currently designed not only does not create serendipity so easily but also frequently generates zemblanitous (that is, expected and unfortunate) findings.
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spelling Zemblanity and Big Data: the ugly truths the algorithms remind us ofserendipity; zemblanity; big data; data science; racism.In this paper, we will argue that, while Big Data enthusiasts imply that the analysis of massive data sets can produce serendipitous (that is, unexpected and fortunate) discoveries, the way those models are currently designed not only does not create serendipity so easily but also frequently generates zemblanitous (that is, expected and unfortunate) findings.Universidade Estadual De Maringá2022-07-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/6224610.4025/actascihumansoc.v44i1.62246Acta Scientiarum. Human and Social Sciences; Vol 44 No 1 (2022); e62246Acta Scientiarum. Human and Social Sciences; v. 44 n. 1 (2022); e622461807-86561679-7361reponame:Acta Scientiarum. Human and Social Sciences (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttps://periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/62246/751375154596Copyright (c) 2022 Acta Scientiarum. Human and Social Scienceshttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCavassane, Ricardo Peraça 2023-03-07T18:32:30Zoai:periodicos.uem.br/ojs:article/62246Revistahttps://periodicos.uem.br/ojs/index.php/ActaSciHumanSocSciPUBhttps://periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/oai||actahuman@uem.br1807-86561679-7361opendoar:2023-03-07T18:32:30Acta Scientiarum. Human and Social Sciences (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Zemblanity and Big Data: the ugly truths the algorithms remind us of
title Zemblanity and Big Data: the ugly truths the algorithms remind us of
spellingShingle Zemblanity and Big Data: the ugly truths the algorithms remind us of
Cavassane, Ricardo Peraça
serendipity; zemblanity; big data; data science; racism.
title_short Zemblanity and Big Data: the ugly truths the algorithms remind us of
title_full Zemblanity and Big Data: the ugly truths the algorithms remind us of
title_fullStr Zemblanity and Big Data: the ugly truths the algorithms remind us of
title_full_unstemmed Zemblanity and Big Data: the ugly truths the algorithms remind us of
title_sort Zemblanity and Big Data: the ugly truths the algorithms remind us of
author Cavassane, Ricardo Peraça
author_facet Cavassane, Ricardo Peraça
author_role author
dc.contributor.author.fl_str_mv Cavassane, Ricardo Peraça
dc.subject.por.fl_str_mv serendipity; zemblanity; big data; data science; racism.
topic serendipity; zemblanity; big data; data science; racism.
description In this paper, we will argue that, while Big Data enthusiasts imply that the analysis of massive data sets can produce serendipitous (that is, unexpected and fortunate) discoveries, the way those models are currently designed not only does not create serendipity so easily but also frequently generates zemblanitous (that is, expected and unfortunate) findings.
publishDate 2022
dc.date.none.fl_str_mv 2022-07-26
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/62246
10.4025/actascihumansoc.v44i1.62246
url https://periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/62246
identifier_str_mv 10.4025/actascihumansoc.v44i1.62246
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/62246/751375154596
dc.rights.driver.fl_str_mv Copyright (c) 2022 Acta Scientiarum. Human and Social Sciences
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Acta Scientiarum. Human and Social Sciences
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual De Maringá
publisher.none.fl_str_mv Universidade Estadual De Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Human and Social Sciences; Vol 44 No 1 (2022); e62246
Acta Scientiarum. Human and Social Sciences; v. 44 n. 1 (2022); e62246
1807-8656
1679-7361
reponame:Acta Scientiarum. Human and Social Sciences (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
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reponame_str Acta Scientiarum. Human and Social Sciences (Online)
collection Acta Scientiarum. Human and Social Sciences (Online)
repository.name.fl_str_mv Acta Scientiarum. Human and Social Sciences (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv ||actahuman@uem.br
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