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Digg In the Future

Posted by samzenpus on from the I-thought-there-would-be-more-sparkles dept.

jamie writes "A new site called Digg In The Future - created by 17-year-old high-school student Raj Vir as a research project - says that its algorithm can predict with 63-percent accuracy what shared links are going to make it to the front page of the Digg website. (Does it allow for brigades?)"

6 of 54 comments (clear)

  1. Would be useless for ./ by Pseudonym+Authority · · Score: 3, Funny

    You don't need any software to know that this story will be posted twice.

  2. In a self-fulfilling prophecy... by oiron · · Score: 2, Insightful

    Did it predict that the article on it would be on top of Digg?

    1. Re:In a self-fulfilling prophecy... by MarkRose · · Score: 4, Informative

      It looks at data after the fact. That is, who shared it, who diggs it, the frequency it is shared, etc. Thus it couldn't predict where itself would end up, at least not until after it was posted, which would be too late.

      It's not like a Slashdot comment that says it will be moderated +5, Informative.

      --
      Be relentless!
  3. it's dead jim by crossmr · · Score: 3, Informative

    I assume it'll be a lot less stories. The new digg revamp is absolutely terrible. It's impenetrable. Most of the useful features before are gone, it's half broken, with comments not loading, or links to your own comments not working. It shows you basically none of the information it showed you before, the new main feed is completely out to lunch. Apparently the "most recent" story on digg was submitted 2 days ago, and I know I saw it on the front page yesterday since they busted it. So digg is telling me since the upgrade, no one has made any story popular.

  4. So... by cybrodroid · · Score: 5, Funny

    it scans reddit?

  5. Observing disturbs the observed by pinkushun · · Score: 2, Insightful

    ... factors taken into consideration are what I like to call “power submitters” ... and “power diggers”... The algorithm also relies on other factors, Vir says, including the time of day (since stories submitted in the early morning hours are unlikely to reach the front page) and whether the link comes from “preferred” sites that appeal to Digg users

    If people adapt their submission procedure to increase their chance of it reaching front page, it will drop the algorithm's accuracy initially, as submitters that don't fit the user profile suddenly match the 'best submission time criteria'.

    The curve will then level out, and climb again, eventually increasing the algorithm's accuracy beyond the initial point as more people conform to the best criteria.