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

Authors

  • Ricardo Peraça Cavassane Universidade Estadual de Campinas

DOI:

https://doi.org/10.4025/actascihumansoc.v44i1.62246

Keywords:

serendipity; zemblanity; big data; data science; racism.

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.

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Published

2022-07-26

Issue

Section

Philosophy

How to Cite

Zemblanity and Big Data: the ugly truths the algorithms remind us of. (2022). Acta Scientiarum. Human and Social Sciences, 44(1), e62246. https://doi.org/10.4025/actascihumansoc.v44i1.62246

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