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

Patent metadata

Field	Value
Publication number	US-10915539-B2
Application number	US-201816190824-A
Country	US
Kind code	B2
Filing date	Nov 14, 2018
Priority date	Sep 27, 2013
Publication date	Feb 9, 2021
Grant date	Feb 9, 2021

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.

First claim

What is claimed is:

1. A system for processing information to provide a customer with at least one multimedia document associated with a reliability score calculated by applying a first category of intrinsic criteria and a second category of extrinsic criteria, comprising:
a source of a machine-readable specification of intrinsic criteria and an extrinsic criteria; and
at least one server engine, coupled with a user interface engine and with the source of a machine-readable specification, the at least one server engine including resources to browse document sources in order to obtain newly published multimedia documents and to calculate the reliability score for at least one set of multimedia documents coming from at least one pre-selected source of multimedia documents, and provide, in response to a request, a subset of multimedia documents from the at least one pre-selected source of multimedia documents associated with an updated reliability score and a multimedia document from one or more additional sources associated with a score conditionally calculated, the at least one server engine further configured for time-stamping reliability scores and associating the reliability scores to a related time-stamped version of the multimedia documents, wherein when a discrepancy is detected between the time-stamp of the reliability score and the time-stamp of related multimedia documents, pre-processing of the multimedia documents is updated.

2. The system of claim 1 wherein the at least one server is further configured for updating the reliability score by applying the extrinsic criteria including user comments in related social networks.

3. The system of claim 1 wherein the reliability score of the at least one multimedia document is pre-calculated when a threshold of interest in the at least one multimedia document is reached.

4. The system of claim 1 wherein the at least one server is further configured for prioritizing calculating the reliability score of the at least one multimedia document according to an interest indicator.

5. The system of claim 4 wherein the at least one server is further configured for weighting the interest indicator by a number of requests.

6. The system of claim 4 wherein the at least one server is further configured for weighting the interest indicator by a measure of engagements.

7. The system of claim 1 wherein the at least one server is further configured for computing, for at least one source, a global reliability score for the source, based on the reliability score of the at least one multimedia document from the at least one source.

8. The system of claim 1 wherein the at least one server is further configured for filtering in order to block displaying of the at least one multimedia document with the reliability score below a certain threshold.

9. The system of claim 1 wherein the at least one server is further configured for filtering, according to a white list, to exclude checking for an existing reliability score for the at least one multimedia document coming from sources not belonging to the white list.

10. The system of claim 1 wherein the at least one server is further configured for filtering, according to a black list, to exclude checking for an existing reliability score for the at least one multimedia document coming from sources not belonging to the black list.

11. The system of 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 system of claim 1 wherein collecting the at least one multimedia document is configured according to the frequency and number of times a source is accessible.

13. The system of claim 1 wherein the at least one multimedia document comprises at least one of text, an image and a video, further wherein:
when the at least one multimedia document is the text, morphology, syntax and semantic analysis are performed,
when the at least one multimedia document is the image, image analysis is performed, including photo dating, and
when the at least one multimedia document is the video, a combination of the image analysis and audio analysis is performed.

14. The system of claim 1 wherein the at least one server is further configured for determining if the at least one multimedia document includes who, what, when, where and why, and lowering the reliability score based on the at least one multimedia document missing one or more of the who, what, when, where and why.

15. The system of claim 1 wherein the at least one server is further configured for:
generating a cluster of at least one multimedia document, wherein the cluster of at least one multimedia document includes information discussing a same story;
determining a representative at least one multimedia document for the cluster of at least one multimedia document;
comparing a new item of at least one multimedia document with the representative at least one multimedia document of the cluster, and updating the reliability score of the at least one multimedia document when differences are determined between the new item of at least one multimedia document and the representative at least one multimedia document of the cluster.

16. The system of claim 1 wherein the at least one multimedia document 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.

17. The system of claim 1 wherein the at least one multimedia document comprises an image, further wherein image analysis is performed including analyzing metadata of the image.

18. The system of claim 1 wherein the at least one multimedia document comprises breaking news information.

19. A system for processing information to provide a customer with at least one multimedia document associated with a reliability score calculated by applying a first category of intrinsic criteria and a second category of extrinsic criteria, comprising:
a source of a machine-readable specification of intrinsic criteria and an extrinsic criteria; and
at least one server engine, coupled with a user interface engine and with the source of a machine-readable specification, the at least one server engine configured to: browse source information to obtain newly published multimedia documents and to calculate the reliability score for the at least one multimedia document, and time-stamp reliability scores and associate the reliability scores to a related time-stamped version of multimedia documents, wherein when a discrepancy is detected between the time-stamp of the reliability score and the time-stamp of related multimedia documents, processing of the multimedia documents is updated, wherein the at least one multimedia document 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 and analyzing metadata of the image.

20. A system for processing information to provide a customer with at least one multimedia document associated with a reliability score calculated by applying a first category of intrinsic criteria and a second category of extrinsic criteria, comprising:
a source of a machine-readable specification of intrinsic criteria and an extrinsic criteria; and
at least one server engine, coupled with a user interface engine and with the source of a machine-readable spec

Assignees

• Myslinski Lucas J

Inventors

• Motte Stanislas
• Ruti Ramon
• Jacolin Arnaud
• Ruquier Pierre-Albert

Classifications

• G06F40/295 Primary

  Named entity recognition · CPC title

• G06F16/24578 Primary

  using ranking · CPC title

• G06F40/253

  Grammatical analysis; Style critique · CPC title

• G06F16/986

  Document structures and storage, e.g. HTML extensions · CPC title

• G06F16/93

  Document management systems · CPC title