1. A computer implemented method for operating a reputation-based communication or content service, the computer implemented method comprising: obtaining at least one objective reputation metric related to a reputation of a first user contributor for making a prediction forecast as to a state or condition of a future event over a network comprising a plurality of interconnected computers including a first computer having a first processor and a first memory coupled to the first processor; identifying a first communication or content having an association with the first user contributor; and processing the first communication or content in the first computer to generate a processed first communication or content based on the obtained at least one objective reputation metric; and wherein the obtaining of the at least one objective reputation metric is performed using prior inputs by the first user contributor through a graphical forecasting interface; and the processing further includes: obtaining a plurality of prior predictions from the first user contributor for at least one particular predicted item state including obtaining at least some of the plurality of predictions using the graphical forecasting interface; storing the obtained predictions in a database coupled with the network; processing the stored predictions and automatically determining an objective prediction accuracy record from the stored first user contributed predictions by comparing the earlier predicted state with the later actual state of the same item corresponding to the prediction date and optionally to the prediction time; and using the detailed objective prediction record for the first user contributor to objectively filter contributor postings made by the contributor including in processing the first communication or content in the first computer to generate the processed first communication or content based on the obtained at least one objective reputation metric, the objective filtering being operative to filter sites, message boards, and/or bulletin board posts or contributions, in advance, based on the reputation of the user contributor.