SYSTEM AND METHOD FOR PREDICTING A GEOGRAPHIC ORIGIN OF CONTENT AND ACCURACY OF GEOTAGS RELATED TO CONTENT OBTAINED FROM SOCIAL MEDIA AND OTHER CONTENT PROVIDERS

• US 20160357783A1
• Filed: 08/19/2016
• Published: 12/08/2016
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: Tai Technologies Inc. (Crisis24)
• Original Assignee: Geofeedia, Inc.
• Inventors: HARRIS, Philip B., MITCHELL, Scott K., MULROY, Michael J.
• Granted Patent: US 9,805,060 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/2365 Ensuring data consistency and integrity
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/487 using geographical or spatial information, e.g. location
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

Abstract

A system and method for managing geotag data associated with content within a geofeed is provided. The content may be tagged with metadata such as geotag data that may specify a location where the content was created. The generated content may be geotagged by one or more geotag sources including a GPS-enabled device, a user input, a content provider, a user profile, or other sources. The system may determine the geotag data for the content that is not already associated with geotag data. The system may determine a confidence level of the geotag data, whether already geotagged or not. The confidence level may be indicative of a likelihood that the geotag data accurately describes a location where the content was actually created.

Claims

1. A method of determining an accuracy of location information that indicates a location at which social media content was created, the method being implemented on a computer having one or more physical processors programmed with one or more computer program instructions that, when executed by the one or more physical processors, program the computer to perform the method, the method comprising:

obtaining, by the computer, social media content from a social media content provider;

obtaining, by the computer, metadata associated with the social media content;

determining, by the computer, geotag data from the metadata, wherein the geotag data indicates;

(i) an automatically derived location, or (ii) a manually input location where the content was created; and

determining, by the computer, a confidence level associated with the geotag data, wherein the confidence level is indicative of a likelihood that the geotag data accurately describes a location where the content was created.

2. The method of claim 1, the method further comprising:

obtaining, by the computer, a geofeed definition comprising an indication of one or more geographically definable locations, wherein obtaining the social media content from the social media content provider comprises;

obtaining, by the computer, social media content items based on the geofeed definition, the social media content items aggregated from a plurality of content providers based on the indication of the one or more geographically definable locations, the social media content items being provided by the plurality of content providers based on respective requests formatted specifically for individual ones of the plurality of content providers, wherein the respective requests comprise the one or more geographically definable locations, and wherein the social media content items include at least social media content from a first one of the plurality of content providers.

3. The method of claim 1, the method further comprising:

identifying, by the computer, a geotag source related to the geotag data, the geotag source being a source from which the geotag data was generated; and

determining, by the computer, the confidence level associated with the geotag data based on the geotag source.

4. The method of claim 3, the method further comprising:

determining, by the computer, a type of source of the geotag source related to the geotag data, wherein the confidence level is determined based on the type of source of the geotag source related to the geotag data.

5. The method of claim 4, wherein the confidence level associated with the geotag data is further based on a predefined confidence level associated with the type of source from which the geotag data was derived.

6. The method of claim 4, wherein the type of geotag source comprises a GPS-enabled device, a user input, a content provider, and/or a user profile of a content creator who created the social media content.

7. The method of claim 3, wherein the geotag source comprises a user profile of a content creator who created the social media content, the method further comprising:

obtaining, by the computer, non-profile-based geotagged content related to the social media content, wherein the non-profile-based geotagged content is associated with second geotag data generated by a geotag source other than a user profile;

identifying, by the computer, a profile location associated with the non-profile-based geotagged content based on location information defined in the user profile;

determining, by the computer, whether the second geotag data associated with the non-profile-based geotagged content and the profile location match; and

determining, by the computer, a confidence level based on the determination of whether the second geotag data associated with the non-profile-based geotagged content and the profile location match, wherein the confidence level is indicative of a likelihood that the first geotag data accurately describes a location where the social media content was created.

8. The method of claim 7, wherein determining the confidence level based on the determination of whether the second geotag data associated with the non-profile-based geotagged content and the profile location match further comprises:

determining, by the computer, a percentage of the non-profile-based geotagged content whose geotag data match the profile location in the non-profile-based geotagged content.

9. The method of claim 1, the method further comprising:

receiving, by computer, a threshold confidence level; and

causing, by the computer, the social media content to be displayed based on a first visual depiction responsive to a determination that the confidence level is above the threshold confidence level and causing the social media content to be displayed based on a second visual depiction responsive to a determination that the confidence level is below the threshold confidence level.

10. The method of claim 3, the method further comprising:

obtaining, by the computer, second social media content;

obtaining, by the computer, second metadata associated with the second social media content;

obtaining, by the computer, second geotag data from the second metadata, the second geotag data comprising second location information that indicates a second location at which the second social media content was created;

identifying, by the computer, a second source of the second geotag data, wherein the source is associated with a first level of accuracy, and the second source is associated with a second level of accuracy different than the first level of accuracy; and

determining, by the computer, a second confidence level associated with the second geotag data based on the second source, wherein the second confidence level is indicative of a likelihood that the second geotag data accurately describes the second location where the second social media content was created, and wherein the second confidence level is different than the confidence level based on the difference between the first level of accuracy and the second level of accuracy.

11. A system configured to determine an accuracy of location information that indicates a location at which social media content was created, the system comprising:

a computer comprising one or more physical processors programmed with one or more computer program instructions that, when executed by the one or more physical processors, program the computer to;

obtain social media content from a social media content provider;

obtain metadata associated with the social media content;

determine geotag data from the metadata, wherein the geotag data indicates;

(i) an automatically derived location, or (ii) a manually input location where the content was created; and

determine a confidence level associated with the geotag data, wherein the confidence level is indicative of a likelihood that the geotag data accurately describes a location where the content was created.

12. The system of claim 11, wherein the one or more processors are further programmed to:

obtain a geofeed definition comprising an indication of one or more geographically definable locations, wherein to obtain the social media content from the social media content provider, the one or more processors are further programmed to;

obtain social media content items based on the geofeed definition, the social media content items aggregated from a plurality of content providers based on the indication of the one or more geographically definable locations, the social media content items being provided by the plurality of content providers based on respective requests formatted specifically for individual ones of the plurality of content providers, wherein the respective requests comprise the one or more geographically definable locations, and wherein the social media content items include at least social media content from a first one of the plurality of content providers.

13. The system of claim 11, wherein the one or more processors are further programmed to:

identify a geotag source related to the geotag data, the geotag source being a source from which the geotag data was generated; and

determine the confidence level associated with the geotag data based on the geotag source.

14. The system of claim 13, wherein the one or more processors are further programmed to:

determine a type of source of the geotag source related to the geotag data, wherein the confidence level is determined based on the type of source of the geotag source related to the geotag data.

15. The system of claim 14, wherein the confidence level associated with the geotag data is further based on a predefined confidence level associated with the type of source from which the geotag data was derived.

16. The system of claim 14, wherein the type of geotag source comprises a GPS-enabled device, a user input, a content provider, and/or a user profile of a content creator who created the social media content.

17. The system of claim 13, wherein the geotag source comprises a user profile of a content creator who created the social media content, and wherein the one or more processors are further programmed to:

obtain non-profile-based geotagged content related to the social media content, wherein the non-profile-based geotagged content is associated with second geotag data generated by a geotag source other than a user profile;

identify a profile location associated with the non-profile-based geotagged content based on location information defined in the user profile;

determine whether the second geotag data associated with the non-profile-based geotagged content and the profile location match; and

determine a confidence level based on the determination of whether the second geotag data associated with the non-profile-based geotagged content and the profile location match, wherein the confidence level is indicative of a likelihood that the first geotag data accurately describes a location where the social media content was created.

18. The system of claim 17, wherein to determine the confidence level based on the determination of whether the second geotag data associated with the non-profile-based geotagged content and the profile location match, the one or more processors are further programmed to:

determine a percentage of the non-profile-based geotagged content whose geotag data match the profile location in the non-profile-based geotagged content.

19. The system of claim 11, wherein the one or more processors are further programmed to:

receive a threshold confidence level; and

cause the social media content to be displayed based on a first visual depiction responsive to a determination that the confidence level is above the threshold confidence level and causing the social media content to be displayed based on a second visual depiction responsive to a determination that the confidence level is below the threshold confidence level.

20. The system of claim 13, wherein the one or more processors are further programmed to:

obtain second social media content;

obtain second metadata associated with the second social media content;

obtain second geotag data from the second metadata, the second geotag data comprising second location information that indicates a second location at which the second social media content was created;

identify a second source of the second geotag data, wherein the source is associated with a first level of accuracy, and the second source is associated with a second level of accuracy different than the first level of accuracy; and

determine a second confidence level associated with the second geotag data based on the second source, wherein the second confidence level is indicative of a likelihood that the second geotag data accurately describes the second location where the second social media content was created, and wherein the second confidence level is different than the confidence level based on the difference between the first level of accuracy and the second level of accuracy.