The new reporter on the US media scene takes no coffee breaks, churns
out articles at lightning speed, and has no pension plan. That's because
the reporter is not a person, but a computer algorithm, honed to
translate raw data such as corporate earnings reports and previews or
sports statistics into readable prose.
Algorithms are producing a
growing number of articles for newspapers and websites, such as this
one produced by Narrative Science: "Wall Street is high on Wells Fargo,
expecting it to report earnings that are up 15.7 percent from a year ago
when it reports its second quarter earnings on Friday, July 13, 2012,"
said the article on Forbes.com. While computers cannot parse the
subtleties of each story, they can take vast amounts of raw data and
turn it into what passes for news, analysts say.
"This can work
for anything that is basic and formulaic," says Ken Doctor, an analyst
with the media research firm Outsell. And with media companies under
intense financial pressure, the move to automate some news production
"does speak directly to the rebuilding of the cost economics of
journalism," said Doctor. Stephen Doig, a journalism professor at
Arizona State University who has used computer systems to sift through
data which is then provided to reporters, said the new
computer-generated writing is a logical next step. Read more >>
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