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

Authors :
Peraça Cavassane, Ricardo
Source :
Acta Scientiarum: Human & Social Sciences. Jan-Apr2022, Vol. 44 Issue 1, p1-7. 7p.
Publication Year :
2022

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16797361
Volume :
44
Issue :
1
Database :
Academic Search Index
Journal :
Acta Scientiarum: Human & Social Sciences
Publication Type :
Academic Journal
Accession number :
159227408
Full Text :
https://doi.org/10.4025/actascihumansoc.v44i1.62246