Mimesis - Thesis project

Digital profiling is the process of gathering and analyzing information that exists online about an individual. Platforms who provide services always have control of this powerful tool. As a result, I used Twitter API as the principle medium to conduct 'digital profiling' as a third party. The visual identity of the new digital profile is not an ads interest list anymore, but a graph that stores personal information that could be used as an avatar. On top of the new visual identity, I speculated several possible applications of the new visual outcome. The idea put forward in this thesis is that shifting the purpose of digital profiling toward being human-centered rather than advertising-driven may draw worthwhile arguments about the practicality and policy issues. My point is to demonstrate my future vision or wish for this technology and propose a mutually beneficial strategy for tech companies.
mimesis is a thesis project initiated and developed by Yangyang Ding. It is a speculative design project. Yangyang is a master’s degree candidate in Industrial Design at RISD. His thesis advisory committee consists of Agatha Haines, Minkyoung Kim, and Nic Schumann. Also special thanks to Paolo Cardini and Benjamin Vu.

More information: Mimesis thesis website

Quick view of Design outcome

Mimesis 1.0

Alternative visual representation of digital profile based on sentiment analysis result
Mimesis generator: Mimesis1.0

Twitter: Mimesis


2020 March 5 - 2020 April 27

Bernie Sanders

2020 March 12 - 2020 April 27

Donald Trump

2020 April 23 - April 30

Trevor Noah

2019 November 1 - 2020 April27

Tedros Adhanom Ghebreyesus

2020 April 18 - 2020 April 27

Guggenheim Museum

2020 February 14 - 2020 April 28

Barack Obama

2019 April 15 - 2020 April 27

Elon Musk

2020 April 16 - 2020 April 28

Mimesis 2.0

Speculative alternative visual representation of digital profile based on cluster analysis result
YouTube: Mimesis

To see more application: Mimesis thesis website