Algorithmically Constructed Identities: Networked Digital Technologies, Dynamic Behavioral Big Data Collection, and Automated Decision-Making
Sofia BratuABSTRACT. The purpose of this study was to empirically examine algorithmically constructed identities. Building my argument by drawing on data collected from Pew Research Center, I performed analyses and made estimates regarding % of Facebook users who say they think users have no/a little/a lot of control over the content that appears in their newsfeed, % 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 % of U.S. adults who say the content on social media does (not) provide an accurate picture of how society feels about important issues. The structural equation modeling technique was used to test the research model.
Keywords: networked digital technology; big data; automated decision-making
How to cite: Bratu, Sofia (2019). “Algorithmically Constructed Identities: Networked Digital Technologies, Dynamic Behavioral Big Data Collection, and Automated Decision-Making,” Contemporary Readings in Law and Social Justice 11(2): 49–55. doi:10.22381/CRLSJ11220197
Received 13 June 2019 • Received in revised form 27 October 2019
Accepted 28 October 2019 • Available online 12 November 2019