Fact checking projection device

• US 10,515,310 B2
• Filed: 06/22/2017
• Issued: 12/24/2019
• Est. Priority Date: 02/28/2014
• Status: Expired due to Fees

• Current Assignee: Palo Alto Networks Incorporated
• Original Assignee: Lucas Myslinski
• Inventors: Myslinski, Lucas J.
• Primary Examiner(s): Cheema, Azam M
• Application Number:
  US15/630,082
• Publication Number:
  US 20170286851A1
• Time in Patent Office: 915 Days
• CPC Class Codes: G06F 16/2365 Ensuring data consistency and integrity
• CPC Class Codes: G06F 16/243 Natural language query formulation
• CPC Class Codes: G06F 16/2457 with adaptation to user needs
• CPC Class Codes: G06F 16/2468 Fuzzy queries
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06F 16/35 Clustering; Classification
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: G06F 3/0412 Digitisers structurally integrated in a display
• CPC Class Codes: G06F 40/205 Parsing
• CPC Class Codes: G06F 40/226 Validation
• CPC Class Codes: G06F 40/289 Phrasal analysis, e.g. finite state techniques or chunking
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/047 Pattern matching networks; Rete networks
• CPC Class Codes: G06N 5/048 Fuzzy inferencing
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks

Abstract

An efficient fact checking system analyzes and determines the factual accuracy of information and/or characterizes the information by comparing the information with source information. The efficient fact checking system automatically monitors information, processes the information, fact checks the information efficiently and/or provides a status of the information.

Claims

1. A method comprising:

a. monitoring target information with a device;

b. 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;

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

d. 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 comparison of the target information with the source information includes utilizing a scoring system based on classifying the target information and/or the source information.

2. The method of claim 1 wherein the status of the target information is presented by projecting the status of the target information using a projector device, wherein the status of the target information is projected on a screen of the device, and the target information is displayed on the screen of the device, wherein the projector device is part of the device, wherein the projector device is movable.

3. The method of claim 1 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.

4. The method of claim 3 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.

5. The method of claim 3 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.

6. The method of claim 3 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.

7. The method of claim 1 further comprising parsing the target information into the segments and prioritizing the segments, so that the 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.

8. 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.

9. The method of claim 1 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 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.

11. The method of claim 1 wherein presenting the status of the target information includes providing context for the target information.

12. The method of claim 1 wherein presenting the status of the target information includes indicating that the target information is biased and/or deceptive.

13. The method of claim 1 wherein presenting the status of the target information includes providing one or more arguments for and/or against an issue related to the target information.

14. The method of claim 13 further comprising providing support for the one or more arguments.

15. The method of claim 1 further comprising ranking the target information based on risk, credibility and/or relevance, and providing an alert based on the monitoring of the target information.

16. The method of claim 1 further comprising discovering the target information, wherein the target information includes topics of interest, to develop a narrative efficiently.

17. The method of claim 1 further comprising storing the target information in classifications of harmful content and safe content.

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

19. A device comprising:

a. a device body;

b. a display coupled to the device body;

c. a projector device coupled to the device body;

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

i. monitoring target information;

ii. analyzing the target information;

iii. 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; and

iv. 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 by projecting the status of the target information on the display using the projector device; and

e. a processor for processing the application.

20. A device comprising:

a non-transitory memory for storing an application for performing the following steps;

monitoring target information;

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;

receiving a fact checking result related to the target information, wherein the fact checking results are generated by comparing the target information with source information to generate the fact checking result; and

presenting a status of the target information based on the fact checking result of the target information, wherein the comparison of the target information with the source information includes utilizing a scoring system based on classifying the target information and/or the source information; and

a processor for processing the application.