Sarah Vieweg’s research interests focus on various dimensions of the study of social media, Natural Language Processing (NLP), human-computer interaction (HCI), and Computer-Supported Cooperative Work (CSCW). Her dissertation, "Situational Awareness in Mass Emergency: A Behavioral and Linguistic Analysis of Microblogged Communications," explores the use of Twitter during mass emergencies with an eye toward creating tools to automatically identify information that contributes to situational awareness. She currently works for Oblong Industries, an innovative company whose technology transforms the way we work, create, and collaborate.
Situational Awareness in Mass Emergency: A Behavioral and Linguistic Analysis of Microblogged Communications (2012)
In times of mass emergency, users of Twitter (a popular microblogging service) often communicate information...
NLP to the Rescue?: Extracting "Situational Awareness" Tweets During Mass Emergency (with Sudha Verma, William Corvey, Leysia Palen, James H. Martin, Martha Palmer, Aaron Schram, and Kenneth M. Anderson), Fifth International AAAI Conference on Weblogs and Social Media (2011)
Advancing the Design of Technology-Mediated Social Participation Systems (with Ed H. Chi, Sean Munson, Gerhard Fischer, and Cynthia Parr), IEEE Computer Special Issue on TMSP (2010)
Chatter on the Red: What Hazards Threat Reveals about the Social Life of Microblogged Information (with Kate Starbird, Leysia Palen, and Amanda L. Hughes), Proceedings of the ACM conference on Computer Supported Cooperative Work (CSCW) (2010)
Microblogging During Two Natural Hazards Events: What Twitter May Contribute to Situational Awareness (with Amanda L. Hughes, Kate Starbird, and Leysia Palen), Proceedings of the ACM conference on Computer Human Interaction (CHI) (2010)
Supporting “Everyday Analysts” in Safety- and Time-Critical Situations (with Leysia Palen and Kenneth M. Anderson), The Information Society (2010)