Apparatus, systems and methods for scoring and distributing the reliability of online information

• US 10,169,424 B2
• Filed: 09/24/2014
• Issued: 01/01/2019
• Est. Priority Date: 09/27/2013
• Status: Active Grant

• Current Assignee: Lucas Myslinski
• Original Assignee: Lucas Myslinski
• Inventors: Motte, Stanislas, Ruti, Ramon, Jacolin, Arnaud, Ruquier, Pierre-Albert
• Primary Examiner(s): Le, Hung D
• Application Number:
  US15/024,574
• Publication Number:
  US 20160239496A1
• Time in Patent Office: 1,560 Days
• Field of Search: None
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/986 Document structures and storage, e.g. HTML extensions
• CPC Class Codes: G06F 40/253 Grammatical analysis; Style critique
• CPC Class Codes: G06F 40/295 Named entity recognition

Abstract

The apparatus, systems and methods dynamically provide the reliability of multimedia documents by applying a series of intrinsic criteria and extrinsic criteria by pre-calculating a reliability score for at least a set of multimedia documents of at least one pre-selected source of multimedia documents, and by providing, in response to a request, the multimedia documents from the pre-selected sources associated with the score and the multimedia documents from the other sources associated with a score conditionally calculated.

Claims

1. A method programmed in a non-transitory memory of a device to provide a user with breaking news information associated with a reliability score calculated by applying a first category of intrinsic criteria in real time then a second category of extrinsic criteria, the method comprising:

collecting the breaking news information;

dispatching the breaking news information to a priority queue, wherein the breaking news information in the priority queue is analyzed before other information;

pre-calculating the reliability score for the breaking news information;

providing the breaking news information associated with the reliability score;

assigning a new pre-calculated reliability score based on updates to the breaking news information; and

time-stamping reliability scores and associating the reliability scores to a related time-stamped version of the breaking news information, wherein when a discrepancy is detected between the time-stamp of the reliability score and the time-stamp of the related breaking news information, pre-processing of the breaking news information is updated.

2. The method according to claim 1 further comprising updating the reliability score by applying the extrinsic criteria including user comments in related social networks.

3. The method according to claim 1 wherein the reliability score of the breaking news information is pre-calculated when a threshold of interest in the breaking news information is reached.

4. The method according to claim 1 further comprising prioritizing processing of the pre-calculation of the reliability score of the breaking news information according to an interest indicator.

5. The method according to claim 4 further comprising weighting the interest indicator by a number of requests.

6. The method according to claim 4 further comprising weighting the interest indicator by a measure of engagements.

7. The method according to claim 1 further comprising computing, for at least one source, a global reliability score for the source, based on the reliability score of the breaking news information from the at least one source.

8. The method according to claim 1 further comprising filtering in order to block displaying of the breaking news information with the reliability score below a certain threshold.

9. The method according to claim 1 further comprising filtering, according to a white list, to exclude checking for an existing reliability score for the breaking news information coming from sources not belonging to the white list.

10. The method according to claim 1 further comprising filtering, according to a black list, to exclude checking for an existing reliability score for the breaking news information coming from sources not belonging to the black list.

11. The method according to claim 1 wherein the reliability score is distributed to customers via various modes, in real time, periodically or in a random mode and by different tools, an interactive service or a mobile application or an alerting service.

12. The method according to claim 1 wherein collecting the breaking news information is configured according to the frequency and number of times a source is accessible.

13. The method according to claim 1 wherein the breaking news information comprises at least one of text, an image and a video, further wherein:

when the breaking news information is the text, morphology, syntax and semantic analysis are performed,

when the breaking news information is the image, image analysis is performed, including photo dating, and

when the breaking news information is the video, a combination of the image analysis and audio analysis is performed.

14. The method according to claim 1 further comprising determining if the breaking news information includes who, what, when, where and why, and lowering the reliability score based on the breaking news information missing one or more of the who, what, when, where and why.

15. The method according to claim 1 further comprising:

generating a cluster of breaking news information, wherein the cluster of breaking news information includes information discussing a same story; and

determining a representative breaking news information for the cluster of breaking news information.

16. The method according to claim 15 further comprising comparing a new item of breaking news information with the representative breaking news information of the cluster, and updating the reliability score of the breaking news information when differences are determined between the new item of breaking news information and the representative breaking news information of the cluster.

17. The method according to claim 1 wherein the breaking news information comprises an image, further wherein image analysis is performed including determining if cloning, masking, or adding or deleting of elements has occurred in the image.

18. The method according to claim 1 wherein the breaking news information comprises an image, further wherein image analysis is performed including analyzing metadata of the image.