Optimized summarizing and fact checking method and system utilizing augmented reality

• US 10,740,376 B2
• Filed: 01/02/2018
• Issued: 08/11/2020
• Est. Priority Date: 09/04/2014
• Status: Active Grant

• Current Assignee: Lucas Myslinski
• Original Assignee: Lucas Myslinski
• Inventors: Myslinski, Lucas J.
• Primary Examiner(s): Park, Grace
• Application Number:
  US15/859,880
• Publication Number:
  US 20180121412A1
• Time in Patent Office: 952 Days
• CPC Class Codes: G06F 16/2365 Ensuring data consistency and integrity
• CPC Class Codes: G06F 16/244 Grouping and aggregation
• CPC Class Codes: G06F 16/3331 Query processing
• CPC Class Codes: G06F 16/3334 Selection or weighting of terms from queries, including natural language queries
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/345 Summarisation for human users
• CPC Class Codes: G06F 16/90332 Natural language query formulation or dialogue systems
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 40/226 Validation
• CPC Class Codes: G06F 40/237 Lexical tools
• CPC Class Codes: G06F 40/284 Lexical analysis, e.g. tokenisation or collocates
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06F 40/58 Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

An optimized fact checking system analyzes and determines the factual accuracy of information and/or characterizes the information by comparing the information with source information. The optimized fact checking system automatically monitors information, processes the information, fact checks the information in an optimized manner and/or provides a status of the information. In some embodiments, the optimized fact checking system generates, aggregates, and/or summarizes content.

Claims

1. A method programmed in a non-transitory memory of an augmented reality device comprising:

a. acquiring target information with the augmented reality device;

b. classifying factually accurate portions of the target information as factually accurate target information and factually inaccurate portions of the target information as factually inaccurate target information based on fact checking results;

c. summarizing the factually accurate target information to generate a factually accurate summary, wherein the target information includes augmented reality-acquired device information acquired using the augmented reality device, and wherein the summary of the factually accurate target information is displayed on the augmented reality device, further wherein the augmented reality device includes a tactile device configured for vibrating an earpiece near a user'"'"'s ear upon fact checking the target information; and

d. providing the factually accurate summary in real-time.

2. The method of claim 1 further comprising summarizing the factually inaccurate target information to generate a factually inaccurate summary, wherein when the target information has not received the number of positive comments above the threshold, then the base number of sentences are utilized to generate the factually inaccurate summary, and when the target information has received the number of positive comments above the threshold, then the base number of sentences plus the additional number of sentences are utilized to generate the factually inaccurate summary.

3. The method of claim 1 wherein summarizing the factually accurate target information utilizes lexical chaining and the fact checking results generated by fact checking the target information, including determining lexical chain strengths, wherein a total strength of a sentence is based on a lexical chain strength and a factual accuracy of the sentence, further wherein the total strength of the sentence is increased when the sentence is factually accurate, and the total strength of the sentence is decreased when the sentence is factually inaccurate.

4. The method of claim 1 wherein summarizing the factually accurate target information utilizes social networking information of a user to determine a focus of the target information, wherein the user is provided the factually accurate summary.

5. The method of claim 1 wherein summarizing the factually accurate target information includes determining a set of most factually accurate sentences combined with lexical chaining to generate the factually accurate summary.

6. The method of claim 1 further comprising generating advertisement information based on the factually accurate summary, further wherein keywords of a lexical chain are analyzed to generate the advertisement information.

7. The method of claim 1 wherein when the target information has not received a number of positive comments above a threshold, then a base number of sentences are utilized to generate the factually accurate summary, and when the target information has received the number of positive comments above the threshold, then the base number of sentences plus an additional number of sentences are utilized to generate the factually accurate summary.

8. The method of claim 1 wherein the target information comprises aggregate information aggregated by utilizing a web crawler to search for and retrieve content to generate the aggregate information, further comprising modifying the aggregate information to generate modified aggregate information by deleting sentences containing factually inaccurate content in the aggregate information as determined by fact checking.

9. The method of claim 1 wherein the target information comprises aggregate information aggregated by utilizing a web crawler to search for and retrieve content to generate the aggregate information, wherein the aggregate information includes a plurality of articles and each article of the plurality of articles includes a plurality of sentences, wherein when a sentence is determined to be factually accurate based on fact checking and relevant to a summary based on lexical chaining, then the sentence is utilized when generating the summary, and when the sentence is determined to be factually inaccurate based on fact checking and relevant to the summary based on lexical chaining, then the sentence is not utilized when generating the summary, and when the sentence is determined to be factually accurate based on fact checking and not relevant to the summary based on lexical chaining, then the sentence is not utilized when generating the summary, and when the sentence is determined to be factually inaccurate based on fact checking and not relevant to the summary based on lexical chaining, then the sentence is not utilized when generating the summary.

10. The method of claim 1 wherein the target information comprises aggregate information aggregated by utilizing a web crawler to search for and retrieve content to generate the aggregate information, wherein the aggregate information includes a plurality of articles, and each article of the plurality of articles receives a factual accuracy rating based on fact checking, further wherein an article of the plurality of articles with a lowest factual accuracy rating is summarized with no additional sentences, and articles with higher factual accuracy ratings are summarized with the additional sentences such that the article with the highest factual accuracy rating is summarized with the base number of sentences plus a maximum number of additional sentences.

11. The method of claim 1 wherein providing the factually accurate summary includes displaying selectable tiles, wherein selecting a tile of the selectable tiles causes a full content item to be displayed at a location of a sentence corresponding to the tile with the sentence highlighted.

12. The method of claim 1 wherein summarizing the factually accurate target information utilizes two different summarizing implementations to generate two different summaries, and comparing the two different summaries.

13. The method of claim 1 further comprising analyzing social networking information of a user, determining interests of the user based on analyzing the social networking information, storing the interests of the user in a data structure, and summarizing the factually accurate target information utilizing the interests stored in the data structure by increasing a lexical chain strength if a word in a lexical chain matches the word in the data structure, wherein the user is provided the factually accurate summary.

14. The method of claim 1 wherein when a size of the factually accurate summary is below a threshold, then summarizing the target information including the factually accurate target information and the factually inaccurate target information to generate a target summary, and providing the target summary.

15. The method of claim 1 further comprising merging multiple content items with disparate views into a merged content item, including maintaining a relative position of each sentence when merging the multiple content items, wherein the target information comprises the merged content item.

16. The method of claim 1 wherein summarizing the factually accurate target information includes analyzing a validity rating of an entity who provided the target information, wherein the validity rating is based on factual accuracy of content provided by the entity, and when the validity rating of the entity is below a first threshold, no additional sentences are used for summarizing the factually accurate target information, and when the validity rating of the entity is equal to or above the first threshold and below a second threshold, a first number of additional sentences are used for summarizing the factually accurate target information, and when the validity rating of the entity is equal to or above the second threshold, a second number of additional sentences are used for summarizing the factually accurate target information.

17. The method of claim 1 wherein the target information includes one or more data sources with opposing perspectives, wherein the one or more data sources comprise a first data source with a first opposing perspective, and the one or more data sources comprise a second data source with a second opposing perspective.

18. The method of claim 1 wherein the target information comprises aggregate information which comprises a plurality of articles about a same topic determined by comparing dates and matching keywords within the plurality of articles.

19. A method programmed in a non-transitory memory of an augmented reality device comprising:

a. acquiring target information, wherein the target information comprises information contributed by a user through a social networking site;

b. classifying factually accurate portions of the target information as factually accurate target information, classifying factually inaccurate portions of the target information as factually inaccurate target information, and classifying questionable portions of the target information as questionable target information based on fact checking results;

c. summarizing the target information to generate a summary utilizing lexical chaining, further wherein when a sentence is identified as a strong lexical chain, a total sentence strength for the sentence is increased, wherein when the sentence is classified as factually accurate, the total sentence strength for the sentence is increased, wherein when the sentence is classified as factually inaccurate, the total sentence strength for the sentence is decreased, and wherein when the sentence is classified as questionable, the total sentence strength for the sentence is not changed, wherein the target information includes augmented reality-acquired device information acquired using the augmented reality device, and wherein the summary of the factually accurate target information is displayed on the augmented reality device, further wherein the augmented reality device includes a tactile device configured for vibrating an earpiece near a user'"'"'s ear upon fact checking the target information; and

d. providing the summary in real-time.

20. An augmented reality device comprising:

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

i. acquiring target information;

ii. classifying factually accurate portions of the target information as factually accurate target information and factually inaccurate portions of the target information as factually inaccurate target information based on fact checking results;

iii. summarizing the factually inaccurate target information to generate a factually inaccurate summary; and

iv. providing the the factually inaccurate summary in real-time;

b. a processor for processing the application; and

c. a tactile device configured for vibrating an earpiece near a user'"'"'s ear upon fact checking the target information, wherein the target information includes augmented reality-acquired device information acquired using the augmented reality device, and wherein the summary of the factually accurate target information is displayed on the augmented reality device.