Created playlists 13 videos Play all Machine Learning in RapidMiner - Playlist 11 videos Play all Machine Learning in Python - Playlist 9 videos Play all Python Programming in ArcGIS - Playlist 26 videos Play all Visualizing Social Media Data - Playlist 28 videos Play all Mining Social Media Data - Playlist 4 videos Play all 27 videos Play all Basic Operations in ArcGIS 10.X - Playlist This item has been hidden Popular uploads Play all 6:21 Overlay, Buffer, and Dissolve in ArcGIS - Duration: 6 minutes, 21 seconds. Created playlists 13 videos Play all Machine Learning in RapidMiner - Playlist 11 videos Play all Machine Learning in Python - Playlist 9 videos Play all Python Programming in ArcGIS - Playlist 26 videos Play all Visualizing Social Media Data - Playlist 28 videos Play all Mining Social Media Data - Playlist 4 videos Play all 27 videos Play all Basic Operations in ArcGIS 10.X - Playlist This item has been hidden Spatial Join, Merge, Append and Create Thiessen Polygons in ArcGIS - Duration: 6 minutes, 1 second. ArcGIS Model Tool4: Create a Python Script Tool - Duration: 4 minutes. Use ArcGIS to Create Feature, Georeference and Digitize Image - Duration: 6 minutes, 22 seconds.

The emergence and ubiquity of online social networks have enriched web data with evolving interactions and communities both at mega-scale and in real-time. This data offers an unprecedented opportunity for studying the interaction between society and disease outbreaks. The challenge we describe in this data paper is how to extract and leverage epidemic outbreak insights from massive amounts of social media data and how this exercise can benefit medical professionals, patients, and policymakers alike. We attempt to prepare the research community for this challenge with four datasets. Publishing the four datasets will commoditize the data infrastructure to allow a higher and more efficient focal point for the research community.