39. A method of predicting content of a future unpublished news story with a computing system comprising: a) identifying a first event described in content published in a knowledge domain including one or more social network domains, news content domains, blog domains and/or message board domains; b) automatically predicting future content for a plurality of different alternative future unpublished stories for said first event or updates to said first event, based on a comparison of characteristics of said first event to characteristics of prior events of a same type; wherein said future content is derived from content of prior stories describing said prior events; c) automatically searching for a numerical outcome associated with said first event by querying at least one of a social network, message board, blog and/or search engine.
39. A method of predicting content of a future unpublished news story with a computing system comprising: a) identifying a first event described in content published in a knowledge domain including one or more social network domains, news content domains, blog domains and/or message board domains; b) automatically predicting future content for a plurality of different alternative future unpublished stories for said first event or updates to said first event, based on a comparison of characteristics of said first event to characteristics of prior events of a same type; wherein said future content is derived from content of prior stories describing said prior events; c) automatically searching for a numerical outcome associated with said first event by querying at least one of a social network, message board, blog and/or search engine. 45. The method of claim 39 wherein during step (c) input from portable devices used by human reporters within a geographical region associated with said first event is also collected for said numerical outcome.