Systems And Methods For Autonomous Validation of Crowd Sourced and Open Sourced Information

A method for determining a reliability of crowd-sourced information, comprising:

• receiving input data from one or more sources concerning an event, wherein the input data from each of the one or more sources comprises an identifier and a location of the source;
• wherein the one or more sources comprises at least one of a social media post and a user submission, and wherein the event information comprises a location of the event, a time the event occurred, and input credibility identification markers;
• analyzing the input data of each source using a processor to generate a credibility rating assigned to each source based on whether the identifier of the source was previously stored on the server and accuracy ratings associated with prior submissions from that source;
• comparing the location of the source with an event location to generate an accuracy rating for each source based on the distance of the source from the event location;
• receiving information captured by one or more sensors near the location of the event;
• comparing the received information captured by the one or more sensors with the received input data from the one or more sources;
• assigning a reliability value to the event based on (i) the credibility and/or accuracy ratings of each source and (ii) a similarity of the received input data from the one or more sources when compared with the received information captured by the one or more sensors;
• autonomously deciding to transmit an alert when the reliability value is greater than a predetermined threshold.