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Having trouble deciphering the latest stock trends? Don’t worry, a machine can do it for you—and write an article, too. No, this isn’t something from a science fiction novel; according to The Atlantic, tech start-up Narrative Science has created a platform that not only digests vast amounts of data but also actually interprets its findings in prose form fit for publication.

Narrative Science co-founder and CTO Kris Hammond told The Atlantic, “Data is tremendously valuable. It's unbelievably valuable. But it's not valuable as a spreadsheet of numbers. It's valuable based on the insights that you can glean from it."

Forbes, one of Narrative Science’s clients, for example, uses the platform to create “computer-generated company earnings previews” from stock data, the article said. Another client, The Big Ten Network, use the service to develop sports recaps, the article said.

Other clients use Narrative Science for “niche fields" and other data-heavy subject areas that might not be reported on due to lack of resources, according to Slate.


Gianna Walton


2012-04-16 17:10

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Which publications are read where? A collaboration between Forbes and Bitly analysed millions of clicks on Bitly shortened links shared on the Web to explore which news sources are read where across the US.

Bitly is a website which shortens URLs, making it easier to share them on the Web. It is widely used on Twitter for example, where saving space is crucial to get the most out of 140 characters. Bitly provides also tools to track links: by adding a + at the end of a link, it’s possible to see how many times the link was clicked on, Bitly explains.

The data collected for Forbes have been aggregated to form an interactive map showing America’s most influential news outlets.

As Forbes’ Jon Bruner explains, Bitly’s dataset consists of every click on every Bitly link on the Web mainly shared on social networks like Facebook or Twitter. For Forbes – Bitly said – they investigated how people consume news by looking at how people in different states differ in their preference for news sites.


Federica Cherubini


2012-03-28 16:54

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