O'Neil, Cathy. 2016. Weapons of Math Destruction
How Big Data Increases Inequality and Threatens Democracy . Crown
Bibliographic Data
| ID | 21808644 |
|---|---|
| Authors | Michaela Slussareff (0000-0002-1385-1889, Charles University, corresponding author) |
| Year | 2022 |
| Volume | 16 |
| Issue | 1 |
| Pages | 72-75 |
| Publication date | 2022-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | CyberOrient (JOURNAL) |
| Journal identifiers | ISSN: 1804-3194 • E-ISSN: 1804-3194 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/cyo2.26 |
| OpenAlex | W4312510776 |
| Language | EN |
| Citations received | 1 |
The book Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy provides a very important point of view on the mathematical models and algorithms used for decisionmaking in our society. As the title suggests the author sees the possible dangerous influences of algorithms used for the specific groups in the society as huge and disastrous. The book describes the mechanism and functioning of mathematical models and algorithms in a comprehensible manner. It uses practical examples of various mechanisms commonly used in today's society. The main aim of the book is to break the myths about the mathematical models and their results, mainly the widespread beliefs about the algorithms as being fair, objective, and unbiased
Big data · Data mining · Democracy · Epistemology · Inequality · Mathematical economics · Mythology · Operations research · Political science · Politics · Sociology · Computer Science · Economic Development and Digital Transformation · History · Law · Mathematics · Philosophy
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |