Online Information Behaviors during Disaster Events: Roles, Routines, and Reactions
Harrison T. Reeder, Carleton College
Tyler McCormick, University of Washington
Emma Spiro, University of Washington
Social media and Internet-based messaging systems are increas- ingly important platforms for risk communication. A global audience turns to these tools to seek, disseminate, and curate time-sensitive, event information during periods of crisis. Moreover, emergency responders report adopting these tools to augment their typical public information functions. Here, we use unsupervised machine learning methods and text analysis to explore online communications from a set of state and Federal emergency management-related organizations over a period of 15 months. We compare communication during routine, non-event periods with communication during significant disaster events in order to evaluate differences in the roles these organizations play. Findings indicate that communications from emergency management organizations align based on functional roles during routine situations, but during crisis events communication strategies converge on a mutual objective. These results have important practical consequences for organizational learning within this environment and could inform social media policies for emergency responders.
Presented in Session 82: Big Data for Population Research