1. Big Data: truth, quasi-truth or post-truth?
- Author
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Peraça Cavassane, Ricardo and Loffredo D'Ottaviano, Itala Maria
- Subjects
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BIG data , *ARTIFICIAL intelligence , *STATISTICAL models , *MENTAL representation - Abstract
In this paper we investigate if sentences presented as the result of the application of statistical models and artificial intelligence to large volumes of data - the so-called 'Big Data' - can be characterized as semantically true, or as quasi-true, or even if such sentences can only be characterized as probably quasifalse and, in a certain way, post-true; that is, if, in the context of Big Data, the representation of a data domain can be configured as a total structure, or as a partial structure provided with a set of sentences assumed to be true, or if such representation cannot be configured as a partial structure provided with a set of sentences assumed to be true. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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