Optimized content generation method and system

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

aggregating content on a single topic by searching for online news articles and social networking information, wherein the single topic is determined by comparing dates and matching keywords within the content;

classifying a first portion of the content as having a first perspective;

classifying a second portion of the content as having a second perspective;

generating new content comprising the first portion of the content classified as having the first perspective and the second portion of the content classified as having the second perspective, wherein the new content is tailored to each user based on user interests, wherein generating the new content utilizes lexical chaining, 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.

2. The method of claim 1 further comprising generating a summary of the new content including utilizing artificial intelligence to provide commentary related to the new content, wherein the artificial intelligence learns by analyzing each user's social networking page.

3. The method of claim 1 further comprising fact checking the new content and eliminating any sentences within the new content that are determined to be factually inaccurate.

4. The method of claim 1 further comprising fact checking the new content and eliminating any sentences within the new content that are determined to be factually accurate.

5. The method of claim 1 wherein sources of the content are classified as having the first perspective or the second perspective.

6. The method of claim 1 wherein the content comprises breaking news.

7. The method of claim 6 wherein the new content includes a representation that the new content is unverified.

8. The method of claim 6 wherein a number of times the breaking news has been re-tweeted is displayed.

9. The method of claim 6 wherein a number of sources for the breaking news is displayed.

10. The method of claim 6 wherein sources classified as having an opposing view are analyzed regarding the breaking news, and when the sources agree on the breaking news, the breaking news is indicated as being reported by opposing sources.

11. The method of claim 1 further comprising fact checking the new content wherein the new content includes at least one image or video.

12. The method of claim 1 wherein generating the new content includes generating a headline and a photograph to be provided with the new content.

13. The method of claim 1 wherein the single topic is determined by counting a number of matching keywords within the content.

14. The method of claim 1 wherein the single topic is determined by matching keywords in a title with topic keywords stored in a database.

15. The method of claim 1 wherein classifying the content as having the first perspective and classifying the second portion of the content as having the second perspective is by matching an author of the content with a database storing names and corresponding perspectives.

16. The method of claim 1 wherein the content aggregated is based on a number of likes and dislikes.

17. The method of claim 1 wherein the single topic is based on a search string input to a search engine, and search results are displayed in addition to the new content.

18. The method of claim 1 wherein the single topic is based on social networking information of a user to determine a focus.

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

classifying a first portion of breaking news as having a first perspective;

classifying a second portion of the breaking news as having a second perspective; and

generating new content comprising the first portion of the breaking news classified as having the first perspective and the second portion of the breaking news classified as having the second perspective, wherein the new content is tailored to each user based on user interests, wherein generating the new content utilizes lexical chaining, 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.

20. A device comprising:

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

aggregating content on a single topic by searching for online news articles and social networking information, wherein the single topic is determined by comparing dates and matching keywords within the content; and

classifying a first portion of the content as having a first perspective;

classifying a second portion of the content as having a second perspective; and

generating new content comprising the first portion of the content classified as having the first perspective and the second portion of the content classified as having the second perspective, wherein the new content is tailored to each user based on user interests, wherein generating the new content utilizes lexical chaining, 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; and

a processor for processing the application.