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Study: Using Big Data to monitor societal events shows promise, but the coding tech needs work

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In new research pub­lished Thursday in the journal Sci­ence, North­eastern net­work sci­en­tist David Lazer and his col­leagues ana­lyzed the effec­tive­ness of four global-​​scale data­bases and found they are falling short when tested for reli­a­bility and validity.

In the age of Big Data, auto­mated sys­tems can track soci­etal events on a global scale. These sys­tems code and col­lect vast stores of real-time “event data”—happenings gleaned from news arti­cles cov­ering every­thing from polit­ical protests to eco­log­ical shifts around the world.

In new research pub­lished Thursday in the journal Sci­ence, North­eastern net­work sci­en­tist David Lazer and his col­leagues ana­lyzed the effec­tive­ness of four global-scale data­bases and found they are falling short when tested for reli­a­bility and validity.

Read the full story at news@Northeastern story.

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