The author identifies various problems and limitations in the quantitative analysis of Big Data, with regard to e.g. its volume, velocity and variety, as well as its reliability and veridicity. Dedicated chapters focus on the epistemological aspects of data-based knowledge and ethical aspects of the use of Big Data, while also addressing paradigmatic cases such as Cambridge Analytica and the use of data from social networks to influence election outcomes.
The author identifies various problems and limitations in the quantitative analysis of Big Data, with regard to e.g. its volume, velocity and variety, as well as its reliability and veridicity. Dedicated chapters focus on the epistemological aspects of data-based knowledge and ethical aspects of the use of Big Data, while also addressing paradigmatic cases such as Cambridge Analytica and the use of data from social networks to influence election outcomes.
![Statistics, New Empiricism and Society in the Era of Big Data](http://vs-images.bn-web.com/static/redesign/srcs/images/grey-box.png?v11.10.2)
Statistics, New Empiricism and Society in the Era of Big Data
54![Statistics, New Empiricism and Society in the Era of Big Data](http://vs-images.bn-web.com/static/redesign/srcs/images/grey-box.png?v11.10.2)
Statistics, New Empiricism and Society in the Era of Big Data
54Paperback(1st ed. 2021)
Product Details
ISBN-13: | 9783030730291 |
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Publisher: | Springer International Publishing |
Publication date: | 04/21/2021 |
Series: | SpringerBriefs in Statistics |
Edition description: | 1st ed. 2021 |
Pages: | 54 |
Product dimensions: | 6.10(w) x 9.25(h) x (d) |