CDT Algorithmic Transparency Prototype - Moving and Controlling Data Types

In order to understand what a social media transparency report might include to best support everyday users’ needs, CDT conducted a two-part, human-centered co-design research project. We conducted two sets of individual sessions with a diverse group of casual social media users (n=30) to understand what information they would like companies to share about recommendation algorithms and how that information should be shared.
One of the prototypes in our study focused on communicating how data is transferred between platforms, and included both incoming data from external sources and outgoing data that is collected on social media. In that prototype, people were able to move different data types from one privacy setting to another and to control how their data would be shared (hypothetically).
* CDT's report on this topic: cdt.org/insigh...
** CDT's research prototypes here: cdt.org/insigh...
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