Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/addleton-academic-publishers/automation-and-autonomy-of-big-data-driven-algorithmic-decision-making-yxeLnITwh1
References
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
- Publisher
- Addleton Academic Publishers
- Copyright
- © 2009 Addleton Academic Publishers
- ISSN
- 1948-9137
- eISSN
- 2162-2752
- Publisher site
- See Article on Publisher Site
Abstract
This article reviews and advances existing literature concerning big datadriven algorithmic decision-making. Using and replicating data from Deloitte and Pew Research Center, I performed analyses and made estimates regarding % of Facebook users who have not/have intentionally tried to influence the content that appears on their news feed (by age group), % of U.S. adults who say the content on social media does/does not provide an accurate picture of how society feels about important issues, % of social media users who say it is not at all acceptable/not very acceptable/somewhat acceptable/very acceptable for social media sites to use data about them and their online activities to recommend events in their area/recommend someone they might want to know/show them ads for products and services/show them messages from political campaigns, and among U.S. social media users, the % of who say it would be hard to give up/not hard to give up social media (by age group). Data were analyzed using structural equation modeling. Keywords: automation; autonomy; big data; algorithmic decision-making; human behavior
Journal
Contemporary Readings in Law and Social Justice – Addleton Academic Publishers
Published: Jan 1, 2019