Corvey, William J., Sarah Vieweg, Sudha Verma, Martha Palmer and James H. Martin. (In press.). Foundations of a Multilayer Annotation Framework for Twitter Communications During Crisis Events. Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC 2012), May 21-27, 2012, Istanbul, Turkey.
Mark, Gloria, Mossaab Bagdouri, Leysia Palen, James H. Martin, Ban Al-Ani, Ken Anderson (2012). Blogs as a Collective War Diary. 2012 ACM Conference on Computer Supported Cooperative Work, Bellevue, WA.
Starbird, Kate, Grace Muzny and Leysia Palen (2012). Learning from the Crowd: Collaborative Filtering Techniques for Identifying On-the-Ground Twitters during Mass Disruptions.Proceedings of the Conference on Information Systems for Crisis Response and Management (ISCRAM 2012), Vancouver, BC.
Verma, Sudha, Sarah Vieweg, Will Corvey, Leysia Palen, Jim Martin, Martha Palmer, Aaron Schram and Ken Anderson. NLP to the Rescue? Extracting “Situational Awareness” Tweets During Mass Emergency. In the Fifth International AAAI Conference on Weblogs and Social Media, 17-21 July 2011, Barcelona, Spain.
In times of mass emergency, vast amounts of data are generated via computer-mediated communication (CMC) that are difficult to manually cull and organize into a coherent picture. Yet valuable information is broadcast, and can provide useful insight into time- and safety-critical situations if captured and analyzed properly and rapidly. We describe an approach for automatically identifying messages communicated via Twitter that contribute to situational awareness, and explain why it is beneficial for those seeking information during mass emergencies. We collected Twitter messages from four different crisis events of varying nature and magnitude and built a classifier to automatically detect messages that may contribute to situational awareness, utilizing a combination of hand- annotated and automatically-extracted linguistic features. Our system was able to achieve over 80% accuracy on categorizing tweets that contribute to situational awareness. Additionally, we show that a classifier developed for a specific emergency event performs well on similar events. The results are promising, and have the potential to aid the general public in culling and analyzing information communicated during times of mass emergency.
Bagdouri, Mossaab (2011). Topic modeling as an analysis tool to understand the impact of the Iraq war on the Iraqi blogosphere. University of Colorado at Boulder MS Thesis.
Corvey, W. J., Vieweg, S., Rood, T. and Palmer, M. (2010). Twitter in Mass Emergency: What NLP Techniques can Contribute. In Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media (Los Angeles, California, June 2010), 23–24.
We detail methods for entity span identification and entity class annotation of Twitter communications that take place during times of mass emergency. We present our motivation, method and preliminary results.
Palen, L., Anderson, K. M., Mark, G., Martin, J., Sicker, D., Palmer, M., and Grunwald, D. (2010). A vision for technology-mediated support for public participation and assistance in mass emergencies and disasters. In Proceedings of the 2010 ACM-BCS Visions of Computer Science Conference (Edinburgh, United Kingdom, April 14 – 16, 2010). ACM-BCS Visions of Computer Science. British Computer Society, Swinton, UK, 1-12.
We present a vision of the future of emergency management that better supports inclusion of activities and information from members of the public during disasters and mass emergency events. Such a vision relies on integration of multiple subfields of computer science, and a commitment to an understanding of the domain of application. It supports the hopes of a grid/cyberinfrastructure-enabled future that makes use of social software. However, in contrast to how emergency management is often understood, it aims to push beyond the idea of monitoring on-line activity, and instead focuses on an understudied but critical aspect of mass emergency response—the needs and roles of members of the public. By viewing the citizenry as a powerful, self-organizing, and collectively intelligent force, information and communication technology can play a transformational role in crisis. Critical topics for research and development include an understanding of the quantity and quality of information (and its continuous change) produced through computer-mediated communication during emergencies; mechanisms for ensuring trustworthiness and security of information; mechanisms for aligning informal and formal sources of information; and new applications of information extraction techniques.