chunk1

ABSTRACT. I follow recent research (e.g. Flyverbom, Deibert, and Matten, 2018; Herschel and Miori, 2017; Markham, Tiidenberg, and Herman, 2018; Pink and Lanzeni, 2018) showing that the most ordinary aspects of individuals’ lives are surely datafied and predictive data analytics are progressively employed in procedures of governance. Using data from Gartner, Pew Research Center, SAS Institute, Statista, TCS, and UN Trade Statistics, I performed analyses and made estimates regarding main reasons and business benefits of using big data, proportion of companies by country with big data initiatives, big data investments by industry, and percentage of U.S. adults who say they are “not at all confident” that their records will remain private and secure. Empirical and secondary data are used to support the claim that big data may integrate information that encroaches upon individuals’ privacy.

Keywords: ethics; algorithmic sociality; big data; research pattern

How to cite: Bratu, Sofia (2018). “The Ethics of Algorithmic Sociality, Big Data Analytics, and Data-Driven Research Patterns,” Review of Contemporary Philosophy 17: 100–106.

Received 1 April 2018 • Received in revised form 8 June 2018
Accepted 10 June 2018 • Available online 1 July 2018

doi:10.22381/RCP1720187

SOFIA BRATU
This email address is being protected from spambots. You need JavaScript enabled to view it.
Spiru Haret University

Home | About Us | Sales | Author's Page | Journals | Abstracting & Indexing | Contributors | Books | Contact | Online Access

© 2009 Addleton Academic Publishers. All Rights Reserved.

 
Joomla templates by Joomlashine