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Bernardo Huberman, Hewlett-Packard's director of the HP Social Computing lab, and fellow researcher Gabor Szabo have published a highly detailed report (PDF) on "predicting the popularity of online content." Focusing on content submitted and popularized on popular social sites Digg.com and Google's YouTube, the two concocted not one but three ways to predict how much traffic and overall user interaction a story or submitted video will receive well after it hits its initial popularity.

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Following up on the advertising toolbox, you also need to let the media (oh if only there was a site ...

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