Nested device for efficient fact checking

1. A method comprising:

a. monitoring target information with a nested device, wherein the nested device includes a first display, a second display and a device body, wherein the second display is configured to slide out from within the device body;

b. fact checking the target information by comparing the target information with source information to generate a result; and

c. presenting a status of the target information in real-time based on the result of the comparison of the target information with the source information, wherein the status of the target information is presented on at least one of the first display and the second display, wherein comparing includes at least one of:

i. searching for an exact match of the target information in the source information and returning the 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,

wherein searching for the exact match begins searching the source information located on a fastest access time hardware device and continues to slower access time hardware devices;

wherein utilizing pattern matching begins utilizing the source information located on the fastest access time hardware device and continues to the slower access time hardware devices; and

wherein the natural language search begins searching the source information located on the fastest access time hardware device and continues to the slower access time hardware devices.

2. The method of claim 1 wherein most popular, most recent and most common information is stored in the fastest access time hardware device, and less popular, less recent and less common information is stored in the slower access hardware devices.

3. The method of claim 1 wherein searching for the exact match begins searching the source information located in a designated fact checking database and then goes to a broader set of source information;

wherein utilizing pattern matching begins utilizing the source information located in the designated fact checking database, then goes to the broader set of source information; and

wherein the natural language search begins searching the source information located in the designated fact checking database, then goes to the broader set of source information.

4. The method of claim 1 wherein searching for the exact match begins searching the source information classified by a plurality of keywords found in the target information, then using the source information classified by a single keyword found in the target information, and then using the source information classified by keywords related to the keywords found in the target information;

wherein utilizing pattern matching begins utilizing the source information classified by the plurality of keywords found in the target information, then using the source information classified by the single keyword found in the target information, and then using the source information classified by the keywords related to the keywords found in the target information; and

wherein the natural language search begins searching the source information classified by the plurality of keywords found in the target information, then using the source information classified by the single keyword found in the target information, and then using the source information classified by the keywords related to the keywords found in the target information.

5. The method of claim 1 further comprising parsing the target information into segments and prioritizing the segments, so that a highest priority segment is fact checked first, wherein priority is based on the relatedness of the segment to a current topic being discussed and when the segment was presented, wherein if the segment is not fact checked before a timeout threshold, then the segment is removed from a fact check queue.

6. The method of claim 1 wherein a plurality of fact check queues are implemented, wherein a first fact check queue contains the segments to be fact checked in real-time, and the second fact check queue contains the segments to be fact checked in non-real-time.

7. The method of claim 1 further comprising parsing the target information into segments and prioritizing the segments, so that a highest priority segment is fact checked first, wherein priority is based on a presenter of the target information, wherein if the presenter of the target information has a validity rating below a first validity threshold, then the segments of the target information from the presenter are prioritized in a highest priority group, and if the presenter of the target information has the validity rating above the first threshold and below a second threshold, then the segments of the target information from the presenter are prioritized in a second highest priority group which has a lower priority than the highest priority group, and if the presenter of the target information has the validity rating above the second threshold, then the segments of the target information from the presenter are prioritized in a third highest priority group which has a lower priority than the second highest priority group.

8. The method of claim 1 further comprising parsing the target information into phrases, parsing the phrases into words, counting the number of words in each phrase, and comparing each phrase with source information containing the same number of words as the number of words in the phrase being compared.

9. The method of claim 8 wherein the source information includes only source information in a classification matching a keyword detected in the target information.

10. The method of claim 1 wherein searching for the exact match begins searching the source information controlled by a media company, then using crowdsourced data as the source information, and then using world wide web data for fact checking;

wherein utilizing pattern matching begins utilizing the source information controlled by the media company, then using the crowdsourced data as the source information, and then using the world wide web data for fact checking; and

wherein the natural language search begins searching the source information controlled by the media company, then using the crowdsourced data as the source information, and then using the world wide web data for fact checking.

11. The method of claim 1 further comprising analyzing a validity rating of an entity providing the target information, wherein if the validity rating of the entity is below a threshold, then source information is limited to sources with a rating above a reliability threshold.

12. The method of claim 1 wherein the target information comprises an image and/or a video.

13. The method of claim 1 wherein presenting the status of the target information includes indicating a bias.

14. A device comprising:

a. a device body;

b. a plurality of displays coupled to the device body;

c. a non-transitory memory for storing an application for automatically performing the following steps:

i. monitoring target information;

ii. analyzing the target information, including comparing the target information with source information;

iii. presenting a status of the target information based on the result of the analysis of the target information, wherein the status of the target information is presented on at least one display of the plurality of displays, wherein comparing includes at least one of:

searching for an exact match of the target information in the source information and returning the result of the exact match search if the exact match is found;

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

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

wherein searching for the exact match begins searching the source information located on a fastest access time hardware device and continues to slower access time hardware devices;

wherein utilizing pattern matching begins utilizing the source information located on the fastest access time hardware device and continues to the slower access time hardware devices; and

wherein the natural language search begins searching the source information located on the fastest access time hardware device and continues to the slower access time hardware devices; and

d. a processor for processing the application.

15. A device comprising:

a. a device body;

b. a first display on the device body;

c. a first slidable body containing a second display configured to slide out from within the device body;

d. a non-transitory memory for storing an application for automatically performing the following steps:

i. monitoring target information;

ii. fact checking the target information by comparing the target information with source information to generate a result; and

iii. presenting a status of the target information based on the result of the comparison of the target information with the source information, wherein the status of the target information is presented on at least one of the first display and the second display, wherein comparing includes at least one of:

searching for an exact match of the target information in the source information and returning the result of the exact match search if the exact match is found;

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

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

wherein searching for the exact match begins searching the source information located on a fastest access time hardware device and continues to slower access time hardware devices;

wherein utilizing pattern matching begins utilizing the source information located on the fastest access time hardware device and continues to the slower access time hardware devices; and

wherein the natural language search begins searching the source information located on the fastest access time hardware device and continues to the slower access time hardware devices; and

e. a processor for processing the application.

16. The device of claim 15 further comprising a second slidable body containing a third display configured to slide out from within the first slidable body, wherein the status of the target information is presented on at least one of the first display, the second display and the third display.

17. The device of claim 15 further comprising a track within the device body configured for enabling the first slidable body to move.

18. The device of claim 15 wherein the first slidable body is configured to be removed from the device body.

19. The device of claim 15 wherein the first display displays the target information, and the second display displays the status of the target information.

20. The device of claim 15 wherein the first display displays the target information, and the second display displays an advertisement.