Systems and methods for determining and rewarding accuracy in predicting ratings of user-provided content

A system configured for determining and rewarding accuracy in predicting ratings of user-provided content, the system comprising:

• electronic storage media configured to store information, wherein the stored information includes user account information related to user accounts, wherein individual ones of the user accounts are associated with individual ones of the users, such that a first user account is associated with a first providing user and a second user account is associated with a second rating user, wherein first account information is related to the first user account, and wherein second account information is related to the second user account;
• a content server configured to effectuate presentations of user-provided content that is provided by individual users, wherein the content server includes one or more hardware processors configured by machine-readable instructions to:
• obtain individual items of user-provided content, wherein the individual items are associated with individual ones of the individual users who provided the individual items, such that a first item of user-provided content is associated with the first providing user who provided the first item;
• effectuate presentations of the individual items of user-provided content through user interfaces to the individual users, such that a first presentation is presented to the second rating user, wherein the first presentation includes:
• (i) the first item of user-provided content;
• (ii) a first user interface configured to receive user input from the second rating user, wherein the received input from the second rating user represents a
• rating, by the second rating user of the first item of user-provided content;
• receive rating information based on input received from the individual users through the user interfaces, wherein the rating information includes first rating information that is based on the received user input from the second rating user, wherein the first rating information includes the rating, by the second user, of the first item of user-provided content, and wherein the rating reflects an evaluation, by the second user, of the quality of the first item of user-provided content;
• determine values for ranking metrics for individual ones of items of user-provided content, wherein determination of the values for the ranking metrics is based on the received rating information from multiple users, such that a first determination of a first value for a first ranking metric of the first item is based at least in part on the received user input from the second rating user and received rating information from multiple other users, wherein received rating information from the multiple other users represents ratings, by the multiple other users, of the first item 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 degree for the first rating information and the first value for the first ranking metric of the first item, wherein the first correlation degree indicates a level of accuracy by the second rating user in predicting the first value for the first ranking metric of the first item;
• and
• responsive to the determined first correlation degree breaching a threshold, determine and distribute an award to the second rating user in accordance with the determined first correlation degree, wherein distribution of the award includes a modification of the second account information.