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

Author

Peraça Cavassane, Ricardo

Subjects
*BIG data, *SERENDIPITY, *ALGORITHMS, *DATA analysis, *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. [ABSTRACT FROM AUTHOR]

Published
2022
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