This document discusses using social media data to analyze the Ebola outbreak. It outlines collecting Twitter data related to Ebola using search terms like #Ebola, storing the data in a relational database with attributes like location and post text, and analyzing the data spatially using ArcGIS. Key outputs include maps showing countries and cities mentioned in tweets, the geographical spread of mentions within 5000km of affected countries, and concentration of tweets by state to understand information propagation about Ebola worldwide.