Using the large shared-memory supercomputer Nautilus, Kalev Leetaru of the University of Illinois in
Urbana-Champaign combined three massive news archives totaling more than 100 million articles worldwide to explore the global consciousness of the news media. The completeNew York Timesfrom 1945 to 2005, the unclassified edition ofSummary of World Broadcastsfrom 1979 to 2010, and an archive of English-languageGoogle Newsarticles spanning 2006 to 2011 were used to capture a cross-section of the U.S. media spanning half a century and the global media over a
Advanced tonal, geographic, and network analysis methods were used to produce a network 2.4 petabytes in size containing more than 10 billion people, places, things, and activities connected by over 100 trillion relationships, capturing a cross-section of Earth from the news media. A subset of findings from this analysis were then reproduced for this study using more traditional methods and smaller-scale work flows that offer a model for a new class of digital humanities research that explores how the world views itself.
Funded by the National Science Foundation and managed by the University of Tennessee's Remote Data Analysis and Visualization Center (RDAV), the Nautilus supercomputer is a part of the National Institute for Computational Sciences (NICS) network of advanced computing resources at Oak Ridge National Laboratory (ORNL).
You can read more about results from this research in the full paper at First Monday .