Already, complex algorithms — programming often placed under the over-colorful umbrella of "artificial intelligence" — are used to gather content for Web sites like Google News, which serves up a wide selection of journalism online, without much intervention from actual journalists. Hamilton sees a not-too-distant future in which that process would be extended, with algorithms mining information from multiple sources and using it to write parts of articles or even entire personalized news stories.
Hamilton offers a theoretical example, taking off from EveryBlock, the set of Web sites masterminded by Adrian Holovaty, one of the true pioneers of database journalism and a former innovation editor at washingtonpost.com. If you live in one of the 11 American cities EveryBlock covers, you now can enter your address, and the site gives you civic information (think building permits, police reports and so on), news reports, blog items and other Web-based information, such as consumer reviews and photos, all connected to your immediate geographic neighborhood. 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.
Tuesday, December 30, 2008
Rise of the Machines
NYT meets SkyNet?
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