Using evolving information within rapid mapping activities in the response phase of emergency situations poses a number of questions related to the quality of information being provided. In this paper, we focus on image extraction from social networks, in particular Twitter, in case of emergencies. In this case issues arise about the temporal and spatial location of images, which can be refined over time as information about the event is being collected and (automatically) analyzed. The paper describes a scenario for rapid mapping in an emergency event and how information quality can evolve over time. A model for managing and analyzing the evolving information is proposed to be used as a basis for analyzing the images quality for mapping purposes.
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