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.