Big Data & Society: Refractive datasets as a sensemaking methodology in closed data ecosystems
Our article “Refractive datasets as a sensemaking methodology in closed data ecosystems” is already published in Big Data & Society. This is the first paper from a very exciting collaboration with the Search Prompt Integrity & Learning Lab (SPILL), founded by Francesca Tripodi (University of North Carolina at Chapel Hill). The research was led by … More Big Data & Society: Refractive datasets as a sensemaking methodology in closed data ecosystems









