This project – an ongoing collaboration between the Emerging Capacities of Mass Participation (emCOMP) and Social Media (SoMe) Laboratories at UW – investigated the spread of misinformation during the Boston Marathon Bombings over Twitter, ultimately leveraging social media in crisis situations for communication, news reporting, and aid coordination efforts. Thus far we classified six rumors within the roughly twenty million tweet dataset, isolated several temporal “signatures” representative of certain kinds of rumors, and identified tweet characteristics (URLs and location data, for instance) associated with either misinformation or correction. We then further investigated the role of URLs and domains in the spread of misinformation, postulating that outside sources play a significant role in the development of temporal signatures. Finally, using a combination of rumor classification and machine learning, we began to create an application that automatically identifies misinformation in real time as it spreads.