34. The computer-readable medium of claim 32 wherein the reputation weights of the evaluator users that are used in the automatic generating of the at least one aggregate assessments of the content of the review are automatically generated based on the previous evaluations by those evaluator users.
32. A computer-readable medium whose contents cause a computing device to select information to provide to users based on reputations of evaluators of the information, by performing a method comprising: receiving from a reviewer user a review related to an available item; receiving evaluations of the review from each of multiple evaluator users, each received evaluation including a quantitative assessment of contents of the review for each of one or more of multiple content rating dimensions available for use in assessing the review, each of the evaluator users having an existing reputation weight based at least in part on previous evaluations; automatically generating at least one aggregate assessment of the content of the review based at least in part on combining quantitative assessments from the received evaluations for the review, at least one of the generated aggregate assessments being further based on the reputation weights of the evaluator users in such a manner that a first quantitative assessment from a first evaluator user with a first reputation weight has a different impact on that generated aggregate assessment than that first quantitative assessment from a distinct second evaluator user with a distinct second reputation weight; automatically updating the reputation weights for each of one or more of the evaluator users based on a relationship of the quantitative assessments from the evaluation of that evaluator user to the quantitative assessments from the evaluations of other of the evaluator users; and determining whether to provide the review to another user based at least in part on one or more of the automatically generated aggregate assessments for the content of the review.