1. A cross-validation method that facilitates verifying reliability and trustworthiness of user classifications comprising: excluding one or more suspected user's classifications from data employed to train the spam filter; training the spam filter using all other available user classifications; and running the suspected user's polling messages through the trained spam filter to determine how it would have classified the messages compared to the suspected user's classifications.