At a time when “big data” is in vogue and computational journalism is taking off, reporters need efficient ways to process millions of documents. The Declassification Engine is one way to solve this problem. The project uses the latest methods in computer science to demystify declassified texts and increase transparency in government documents.
The project’s mission is to “create a critical mass of declassified documents by aggregating all the archives that are now just scattered online,” said Matthew Connelly, professor of international and global history at Columbia University and one of the professors directing the project, in a phone interview with Poynter.
The team working on the project, which began in September 2012, is made up of historians, statisticians, legal scholars, journalists and computer scientists.
All the data fed into The Declassification Engine comes from declassified documents, mostly from the National Archives, including more than a million telegrams from the State Department Central Foreign Policy Files. The Declassification Engine database also includes documents released under the Freedom of Information Act. . . .
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