During emergencies like natural disasters, technology/infrastructure failures, or terrorism events, before official governing bodies can get statements out, social media is the first place these issues are documented. While million dollar sensors exist to collect data about the perceived severity of a disaster, the voices of people in crisis are often missing or distorted by algorithms optimized for profitability. I developed a custom QGIS tool designed to map social media data during times of disaster. This project’s aim is to better inform responders during crisis and researchers post crisis to visualize emotional topographies of a disaster in real time. In this presentation, I will discuss the methods and technical challenges of building a custom UI tool with large and messy datasets, delve into the underrepresented value of emotion in geography and emergency management, and discuss future direction for this project.