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DIMACS Workshop on Building Communities for Transforming Social Media Research Through New Approaches for Collecting, Analyzing, and Exploring Social Media Data
April 10 - 11, 2014
DIMACS Center, CoRE Building, Rutgers University
Organizers:
Chirag Shah , Rutgers University, chirags at rutgers.edu
Mor Naaman , Cornell Tech, mor. naaman at cornell.edu
Winter Mason , Stevens Institute, winter.mason at stevens.edu
Presented under the auspices of the DIMACS Special Focus
on Information Sharing and Dynamic Data Analysis .
Slides:
Augustin Chaintreau, Columbia University
Taming the Long Tail: Identifying Filtering in Social Media
Tejas Desai, East Carolina University
Is Content Really King? An Objective Analysis of the Public's Response to Medical Videos on YouTube
Anatoliy Gruzd, Dalhousie University, Canada
Automated Discovery and Visualization of Communication Networks from Social Media
Libby Hemphill, Illinois Institute of Technology
Collecting and Connecting On and Offline Political Network Data
Paul Jones, University of North Carolina at Chapel Hill
Terasaur: Gigabytes to Terabytes
Matthew J. Salganik, Microsoft Research and Princeton University
Wiki Surveys: Open and Quantifiable Social Data Collection
Stuart Shulman, Texifter
Coding the Twitter Sphere: Humans and Machines Learning Together
Vivek Singh, Massachusetts Institute of Technology
Sensing, Understanding, and Shaping Human Behavior
Lyle Ungar, University of Pennsylvania
Text-mining Social Media to Study Mental and Physical Health
John Voiklis, Brown University and Harmony Institute
A Wordcount Approach to Assessing the Moral Color of Old & New Media
Yan Zhang, University of Texas at Austin
Searching for Information in Online Health Communities
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Document last modified on April 14, 2014.