“Inferring Personal Attributes from Public Data”

Location: LTS Auditorium, 8080 Greenmead Drive

Speaker:
Jennifer Golbeck
College of Information Studies

Abstract:
People share huge amounts of personal information in social media, but they reveal more beyond what they explicitly post.

Algorithms can leverage information from their social network, language use, profile information, and other digital traces to uncover personal secrets and predict future behaviors.

This talk will review major results in this area to explain the technology, breadth and depth of inferences that are possible with big social data.

Bio:
Jennifer Golbeck is director of the Social Intelligence Lab and an associate professor in the College of Information Studies (iSchool) at UMD.

Her research focuses on analyzing and computing with social media.

This includes building models of social relationships—particularly trust—as well as user preferences and attributes, and using the results to design and build systems that improve the way people interact with information online.

Golbeck received her doctorate in computer science from UMD in 2005.