Deep Throat Meets Data Mining: Algorithms and Humans Adding Value

On a disaggregated Web, it seems, people and advertisers simply will not pay anything like the whole freight for investigative reporting. But Hamilton thinks advances in computing can alter the economic equation, supplementing and, in some cases, even substituting for the slow, expensive and eccentric humans required to produce in-depth journalism as we’ve known it.

via Media Articles | Deep Throat Meets Data Mining | Miller-McCune Online Magazine.

Economist James Hamilton is thinking abouthow we pay (or won’t pay) for investigative news. By using artificial intelligence to take drudgery out of the reporting, he will cut costs. However, his idea of the database journalism stories which can be put together by an algorithm may take the reporter out of the story, too.

This  squib from the story about Hamilton, “…In the not-too-distant future, Hamilton suggests, an algorithm could take information from EveryBlock and other database inputs and actually write articles personalized to your neighborhood and your interests, giving you, for example, a story about crime in your neighborhood this week and whether it has increased or decreased in relation to a month or a year ago,” could have been part of the classic video, EPIC 2014.

I believe that it will take reporters to pull together the connections the algorithms locate, and write them up to attract the interest of readers.

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