1. A computer-implemented method, comprising: collecting auditory detection data with each of a plurality of geographically-distributed, interoperably-connected, local network hubs from available real-time multimedia data streams transmitted by corresponding multimedia data systems, the available real-time multimedia data streams including police scanner, fire scanner, emergency medical services (EMS) scanner, social media data, and web search term data associated with a particular local network hub; within each particular local network hub: processing the collected auditory detection data using voice recognition analysis to extract subunits of the collected auditory detection data, wherein non-essential words are dropped from the extracted subunits and remaining subunits and data associated with the remaining subunits that is contextually within a geographic area of each available real-time multimedia data stream are recognized and acted upon as event data to detect a type and severity of the event data and to translate and load the event data into searchable data fields; cross-checking the processed event data against data retrieved from at least one other available real-time multimedia data stream to confirm the validity of the processed event data; prioritizing the processed event data based at least on a source of the event data to created prioritized event data; scoring the prioritized event data to create scored event data, wherein the scoring is performed using a multi-level scoring data structure of increasingly specific key word category levels, and wherein the multi-level scoring data structure is used to map the scored event data to one or more of the key word category levels; comparing the scored event data value to a newsworthiness threshold; and marking the scored event data as actionable when the scored event data is determined to be at least equal to the newsworthiness threshold or re-processing the scored event data using at least the collected auditory detection data when the scored event data is determined to be less than the newsworthiness threshold, wherein reprocessing includes periodically rescoring the prioritized event at a frequency based on the scored event data value, and wherein rescoring is performed by analyzing the auditory detection data for other events that verify or enhance the prioritized event and comparing the prioritized event against static public data; and transmitting the scored event data marked as actionable from each particular local network hub to a centralized network hub for analysis and dissemination.