18. The device of claim 17 wherein the entity detection includes using facial recognition to determine the entity providing the target information.
17. A device comprising: a. a non-transitory memory for storing an application for automatically performing the following steps: i. monitoring target information provided by an entity; ii. processing the target information provided by the entity including parsing the target information into processed information, wherein processing the target information occurs while the target information is monitored; iii. analyzing, with the device, the processed information including: (1) detecting one or more keywords in the processed information using keyword detection; (2) analyzing sentence structure of the processed information; and (3) detecting the entity using entity detection; and iv. providing anticipatory information related to the target information in real-time based on analyzing the processed information, wherein the anticipatory information provides fact checking analysis in anticipation of commentary; and v. providing an alert of questionable information in real-time based on analyzing the processed information, wherein the alert of the questionable information indicates that the processed information is doubtful regarding accuracy, wherein the entity has a validity rating, and if the validity rating of the entity is below a threshold, and a specified keyword is detected, the alert of questionable is provided, wherein the validity rating is based on previous fact checking of comments made by the entity by comparing the comments with source information to generate a fact checking result, wherein comparing includes at least one of: i. searching for an exact match of the comments in the source information and returning the exact match search result of the exact match search if the exact match is found; ii. utilizing pattern matching for fact checking and returning the result of the pattern matching fact check if a pattern matching result confidence score is above a pattern matching result confidence threshold; and iii. utilizing a natural language search for fact checking and returning the result of the natural language fact check if a natural language result confidence score is above a natural language result confidence threshold; and b. a processor for processing the application.