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Saturday, February 04, 2017

Spotting Fake Info in Data

Would add to beyond 'fake', tags like,  'expired',  'contradictory', 'signals of bias', ' unstable metadata', 'evidence of value', 'risk of use (or non-use)' ... just a few I have had experience with .... there are more.   The thought is good though. Every piece of data should have metadata that flags its interpretation.   In this case its use for strategic espionage.   But for other contexts as well.

Can an app help spies spot phony info? Syracuse researchers, others get $11M to study
By Rick Moriarty | rmoriarty@syracuse.com

on January 26, 2017 at 11:49 AM, updated January 26, 2017 at 12:17 PM
Syracuse, N.Y. -- A team that includes researchers from Syracuse University and SRC Inc. is developing digital tools that will use crowdsourcing and other techniques to help the nation's intelligence analysts do their jobs better.

Among the things the software would do is help intelligence analysts determine the credibility of the information they are receiving, researchers said. Another goal is to make the applications more like computer games, researchers said. ... " 

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