datafication, learning communities, social change, automation, autonomy
Our research is transdisciplinary, drawing on data science approaches to understanding social systems, applying social theory to understand how data is used and misused in society.
We work with faculty and students from across ASU to build a common understanding of how big social data can and should be used. Our work is done in the context of multiple communities and publics, locally and globally.
How does Facebook algorithmically infer what users are interested in, and how do interest inferences shape news exposure?
These graphics and interactives are supposed to help us get a better understanding of the state of the pandemic. But too often, they offer incomplete pictures.
Publicly accessible social media data is frequently used for scientific research. However, numerous questions remain regarding what ethical obligations researchers have in regard to using such content.