Systems and methods for determining and rewarding accuracy in predicting ratings of user-provided content
Abstract:
Systems and methods for determining and rewarding accuracy in predicting user-provided ratings of content provided by other users are disclosed. Exemplary implementations may: maintain user accounts associated with users including the first providing user and the second rating user; obtain individual items of user-provided content; effectuate presentations of the individual items of user-provided content through user interfaces to the individual users such that a first presentation is presented, through the second client computing platform, to the second rating user; receive rating information based on input received from the individual users through the user interfaces; determine values for ranking metrics of the individual items of user-provided content; compare the first value for the first ranking metric of the first item with the first rating information; determine, based on the comparison, a first correlation of the first rating information; and distribute an award to the second rating user in accordance with the determined first correlation, responsive to the determined first correlation breaching a threshold.
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