The New School Archives Digital Collections

Related people/organizations

Melanie Crean (thesis advisor)
Anezka Sebek (thesis advisor)
Ethan Silverman (thesis advisor)
Edward Jefferson (thesis advisor)
Hang Do Thi Duc (designer)

Date

May 11 2016

Description

Data Selfie is a Chrome browser extension that tracks people while they interact – click, type, scroll, dwell – with content on Facebook and that predicts various personality traits based on that data. I used it for two weeks (April 18 - May 1, 2016) and visualized this as a time-based data visualization that is presented as a projection on translucent material to represent on the one hand the ‘glassy’ consumer and the transparent person, but also on the other hand the lack of information transparency. This project aims to provide a personal and differentiated perspective on data mining, predictive analytics and your online data identity – the one online profile you don’t control, never see, but unconsciously create. In our data society algorithms are omnipresent and seemingly omniscient and omnipotent. One thing is certain, Big Data algorithms increasingly define our lives. Therefore, it is important to be aware of the power and influence of our data on ourselves. Can our data selves help us understand ourselves?! Can it really?

Identifier

PC020402_2016_dothh489

Citation

Hang Do Thi Duc. Data Selfie. May 11 2016. Parsons School of Design MFA Design and Technology program theses; 2016. New School Archives and Special Collections Digital Archive. Web. 13 Oct 2019.

Use Restrictions

http://rightsstatements.org/vocab/InC/1.0/ 




There’s more! What you see on this site is only what is viewable online. Please visit our website to find out more about what’s in the archives.