The Math of Gamification 36
An anonymous reader writes "The Foursquare blog has an interesting post about some of the math they use to evaluate and verify the massive amount of user-generated data that enters their database. They need to figure out the likelihood that any given datapoint accurately represents reality, so they've worked out a complicated formula that will minimize abuse. Quoting: 'By choosing the points based on a user's accuracy, we can intelligently accrue certainty about a proposed update and stop the voting process as soon as the math guarantees the required certainty. ... The parameters are automatically trained and can adapt to changes in the behavior of the userbase. No more long meetings debating how many points to grant to a narrow use case. So far, we've taken a very user-centric view of p-sub-k (this is the accuracy of user k). But we can go well beyond that. For example, p-sub-k could be "the accuracy of user k's vote given that they have been to the venue three times before and work nearby." These clauses can be arbitrarily complicated and estimated from a (logistic) regression of the honeypot performance. The point is that these changes will be based on data and not subjective judgments of how many "points" a user or situation should get."
How about we just gameify gamification? (Score:3, Insightful)
How about we just gameify gamification? Then we can quit talking about it, and trying to sell the idea to VCs who, like the rest of us, don't think it's going to work to solve interesting problems, and if it does, well, the people playing the gamefication game will self-solve the problem for us, won't they?
where math and sociology meet (Score:4, Insightful)
Mathematizing the deck chairs on the Titanic... (Score:5, Insightful)
Ever since FB stopped listing FS checkins, and the world stopped noticing who checks in where on FS,
it really means they can arrange their data any way they like.
Perhaps this is their method of convincing their investors they have some Imaginary Property or something.
I can't imagine another reason to pretend they have relevance. Like SnapChat, they're a temporary "service"
that has nothing but temporary eyeballs.
E