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Design & Deception: A Crash Course in Data Distortion #750
[ UUID ] 4d1ab6ea-3351-412a-b1bf-b5862e84de53
[ Session Name ] Design & Deception: A Crash Course in Data Distortion
[ Submitter's Name ] Jess Sauer
[ Additional facilitators ] Gilbert Slade,Robert Friedman
What will happen in your session?
We’ll begin with a group brainstorm of “best practices” for data distortion, covering design and data science methods for transforming raw data into propaganda and highlighting the overlap between unintentional misrepresentation and ill-intentioned manipulation.
Participant groups will each receive a data set and a description of the group they represent and its political aims. Each group will apply the methods they've brainstormed to manipulate their data set and meet their political goals.
At the end, each group or participant will present their work to the rest of the workshop, who will guess at what methods they employed. Finally, each team will reveal their data set and how they’ve distorted it.
What is the goal or outcome of your session?
We aim to illustrate that those who own the data own the message while giving participants a vocabulary they can use to question the methods used by propagandists to achieve political aims. By putting themselves in the shoes of someone intent on misusing data, participants will learn about ethical information design and the importance of open data.
If your session requires additional materials or electronic equipment, please outline your needs.
We’ll need a projector and, if possible, four laptops so that any groups without one can access the data set and visualization tool.
Hi @cubicgarden—our thinking in choosing this space was our primary concern that “black box” datasets and algorithms ensure that data owners have complete power to shape the message through data and design decisions. The more limited the access to that data, the more consolidated the political power. This was our thinking in having each group “own” a unique dataset and manipulate it with a certain end in mind, then revealing the dataset to expose the distortions to analysis and critique. We’re totally open to another space, though, if you think it would be a better fit. What's your thinking on privacy and security?
@jessvsmachine Thanks for the proposal. I definitely feel that decision science is a next gen skillset which people should focus on for building their muscles to become more informed.
I was curious about learning more on the following questions:
@jessvsmachine - we love your proposal - thanks so much for submitting and following up in detail. We have a limited number of travel and accomodation stipends to go around and these are now pretty much all assigned. Do you think you be able to come and run this session without the aid of a stipend?