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Thursday, September 15, 2011

More Efficient Crowdsourcing Models

In the ACM:

" ... In recent years, crowdsourcing has gained more adherents as governments, businesses, and others aim to tap into the collective wisdom of crowds. However, the technique has limitations and shortfalls, particularly when it comes to gauging the value and accuracy of contributions.

Now, a network of researchers from Applied Research Associates External Link (ARA) in Raleigh, North Carolina, and seven U.S. universities External Link are attempting to create more efficient and useful crowdsourcing models that could be used to predict everything from terrorist attacks to changes in societal eating habits .. "

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