18. A method of predicting content of a future unpublished news story with a computing system comprising: a) identifying a first event described in existing content published at a first time in a knowledge domain including one or more social network domains, news content domains, blog domains and/or message board domains; b) automatically predicting new future content for a plurality of different alternative future unpublished stories for said first event or updates to said first event, based on a comparison of characteristics of said first event to characteristics of prior events of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 prior published content describing said prior events is processed to generate said new predicted future content describing said plurality of different alternative future unpublished stories for said first event.
18. A method of predicting content of a future unpublished news story with a computing system comprising: a) identifying a first event described in existing content published at a first time in a knowledge domain including one or more social network domains, news content domains, blog domains and/or message board domains; b) automatically predicting new future content for a plurality of different alternative future unpublished stories for said first event or updates to said first event, based on a comparison of characteristics of said first event to characteristics of prior events of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 prior published content describing said prior events is processed to generate said new predicted future content describing said plurality of different alternative future unpublished stories for said first event. 21. The method of claim 18 further including a step: 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.