SYSTEMS AND METHODS FOR DETECTING GEOGRAPHICALLY DELINEATED CONTENT INCONGRUITIES

• US 20150169694A1
• Filed: 01/30/2015
• Published: 06/18/2015
• Est. Priority Date: 12/16/2013
• Status: Abandoned Application

• Current Assignee: Co Everywhere, Inc.
• Original Assignee: Co Everywhere, Inc.
• Inventors: Longo, Anthony, Adams, Daniel Alan
• Application Number:
  US14/610,270
• Publication Number:
  US 20150169694A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/2457 with adaptation to user needs
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/21 for social networking applications

Abstract

Systems and methods are provided that detect incongruities in enriched geographically delineated content. In one implementation, a system comprises an interface configured to receive an input identifying a geographic location, a location-based service including a distributed computer system in data communication with the interface, a delineation component configured to: query at least one content provider and aggregate a first set of geographically delineated content including media posts each generated by an author, and query at least one content source and aggregate a second set of geographically delineated content including media posts each generated by an author, an enrichment component configured to enhance the first set and second set content with enrichment data to generate an enriched first set and second set of content, and a trend component configured to detect an incongruity from a comparison of the enriched first set and second set of content.

Claims

1. A computer system comprising:

an interface configured to receive an input identifying a geographic location;

a location-based service including a distributed computer system having at least one processor in data communication with the interface;

a delineation component executable by the at least one processor and configured to;

query at least one social media content provider and aggregate a first set of geographically delineated content including a plurality of media posts each generated by an author, the first set of content being received from the at least one social media content provider responsive to the received input, and

query at least one social media content source and aggregate a second set of geographically delineated content including a plurality of media posts each generated by an author, the second set of content being received from the at least one social media content source;

an enrichment component executable by the at least one processor and configured to enhance the first set and second set of aggregated geographically delineated content with enrichment data to generate an enriched first set of aggregated geographically delineated content and an enriched second set of aggregated geographically delineated content; and

a trend component executable by the at least one processor and configured to detect an incongruity from a comparison of the enriched first set of aggregated geographically delineated content and the enriched second set of aggregated geographically delineated content.

2. The system according to claim 1, wherein the plurality of media posts of the first and second set of aggregated geographically delineated content include at least social media content.

3. The system according to claim 1, wherein the input further includes a first time frame for which to aggregate the first set of geographically delineated content and the delineation component is further configured to aggregate the first set of geographically delineated content for the first time frame.

4. The system according to claim 3, wherein the delineation component is further configured to aggregate the second set of geographically delineated content at a second time frame temporally preceding the first time frame.

5. The system according to claim 4, wherein the trend component is further configured to detect an incongruity from a comparison of the enriched first set of aggregated geographically delineated content and the enriched second set of aggregated geographically delineated content from the first time frame to the second time frame.

6. The system according to claim 5, wherein the incongruity includes a change in a volume of the plurality of media posts of the enriched first set of geographically delineated content and the plurality of media posts of the enriched second set of geographically delineated content from the first time frame to the second time frame.

7. The system according to claim 5, wherein the enrichment data includes author profile information associated with author profiles identifying the authors that generated the media posts of the plurality of media posts of the enriched first set of aggregated geographically delineated content and the enriched second set of aggregated geographically delineated content, and the incongruity includes a change in a volume of the authors identified by the author profile information of the enriched first set of aggregated geographically delineated content and the enriched second set of aggregated geographically delineated content from the first time frame to the second time frame.

8. The system according to claim 7, wherein the author profile information includes an influence associated with the author profiles of the authors that generated the media posts of the plurality of media posts of the enriched first set of aggregated geographically delineated content and the enriched second set of aggregated geographically delineated content, and the incongruity includes the identification of an author having an influence above a predetermined threshold.

9. The system according to claim 5, wherein the enrichment data includes a venue associated with individual media posts of the plurality of media posts of the enriched first set and second set of geographically delineated content, and the incongruity includes a change in a volume of the plurality of media posts associated with the venue from the first time frame to the second time frame.

10. The system according to claim 5, wherein the enrichment data includes an impression associated with individual media posts of the plurality of media posts of the enriched first set and second set of aggregated geographically delineated content, and the incongruity includes a change in a volume of the impressions between the enriched first set of geographically delineated content and the enriched second set of geographically delineated content from the first time frame to the second time frame.

11. The system according to claim 5, wherein the enrichment data includes topics associated with individual media posts of the plurality of media posts of the enriched first set and second set of aggregated geographically delineated content, and the incongruity includes a change in a volume of the media posts associated with an individual topic between the enriched first set of aggregated geographically delineated content and the enriched second set of aggregated geographically delineated content from the first time frame to the second time frame.

12. The system according to claim 5, wherein the enrichment data includes an image identification associated with individual media posts of the plurality of media posts of the enriched first set and second set of aggregated geographically delineated content, and the incongruity includes a change in a volume of the image identifications between the enriched first set of aggregated geographically delineated content and the enriched second set of aggregated geographically delineated content from the first time frame to the second time frame.

13. The system according to claim 5, further comprising a relation component configured to generate a visualization of the detected incongruity.

14. The system according to claim 13, wherein the visualization includes a heatmap visualization having an image of the geographic location and a neighboring area geographically proximate the geographic location.

15. The system according to claim 13, wherein the visualization includes one of a graph, chart, and table.

16. The system according to claim 1, further comprising a communication component configured distribute the detected incongruity.

17. The system according to claim 1, wherein the at least one social media content source includes at least one social media content provider.

18. The system according to claim 1, wherein the at least one social media content source includes at least one enrichment database.

19. The system according to claim 1, wherein the input further includes an alert condition that defines an alert parameter and the trend component is further configured to generate an alert responsive to determining that the alert condition has been satisfied.

20. The system according to claim 1, wherein the delineation component is further configured to query at least one social media content source and aggregate a third set of geographically delineated content including a plurality of media posts each generated by an author, the third set of content being received from the at least one social media content source.

21. The system according to claim 20, wherein the enrichment component is further configured to enhance the third set of aggregated geographically delineated content with enrichment data to generate an enriched third set of geographically delineated content, and the trend component is further configured to detect an incongruity from a comparison of the enriched first set of aggregated geographically delineated content, the enriched second set of aggregated geographically delineated content, and the enriched third set of aggregated geographically delineated content.

22. A computer-executed method comprising acts of:

receiving an input identifying a geographic location;

querying at least one social media content provider responsive to the received input;

aggregating a first set of geographically delineated content including a plurality of media posts each generated by an author, the first set of content being received from the at least one social media content provider responsive to the received input;

querying at least one social media content source;

aggregating a second set of geographically delineated content including a plurality of media posts each generated by an author, the second set of content being received from the at least one social media content source;

enhancing the first set and second set of aggregated geographically delineated content with enrichment data to generate an enriched first set of aggregated geographically delineated content and an enriched second set of aggregated geographically delineated content; and

detecting an incongruity from a comparison of the enriched first set of aggregated geographically delineated content and the enriched second set of aggregated geographically delineated content.

23. The method according to claim 22, wherein the plurality of media posts of the first and second set of aggregated geographically delineated content include at least social media content.

24. The method according to claim 22, wherein the input further includes a first time frame for which to aggregate the first set of geographically delineated content and aggregating the first set of geographically delineated content includes aggregating the first set of geographically delineated content for the first time frame.

25. The method according to claim 24, wherein aggregating the second set of geographically delineated content includes aggregating the second set of geographically delineated content at a second time frame temporally preceding the first time frame.

26. The method according to claim 25, wherein detecting an incongruity includes detecting an incongruity from a comparison of the enriched first set of aggregated geographically delineated content and the enriched second set of aggregated geographically delineated content from the first time frame to the second time frame.

27. The method according to claim 26, wherein the incongruity includes a change in a volume of the plurality of media posts of the enriched first set of geographically delineated content and the plurality of media posts of the enriched second set of geographically delineated content from the first time frame to the second time frame.

28. The method according to claim 26, wherein the enrichment data includes author profile information associated with author profiles identifying the authors that generated the media posts of the plurality of media posts of the enriched first set of aggregated geographically delineated content and the enriched second set of aggregated geographically delineated content, and the incongruity includes a change in a volume of the authors identified by the author profile information of the enriched first set of aggregated geographically delineated content and the enriched second set of aggregated geographically delineated content from the first time frame to the second time frame.

29. The method according to claim 28, wherein the author profile information includes an influence associated with the author profiles of the authors that generated the media posts of the plurality of media posts of the enriched first set of aggregated geographically delineated content and the enriched second set of aggregated geographically delineated content, and the incongruity includes the identification of an author having an influence above a predetermined threshold.

30. The method according to claim 26, wherein the enrichment data includes a venue associated with individual media posts of the plurality of media posts of the enriched first set and second set of geographically delineated content, and the incongruity includes a change in a volume of the plurality of media posts associated with the venue from the first time frame to the second time frame.

31. The method according to claim 26, wherein the enrichment data includes an impression associated with individual media posts of the plurality of media posts of the enriched first set and second set of aggregated geographically delineated content, and the incongruity includes a change in a volume of the impressions between the enriched first set of geographically delineated content and the enriched second set of geographically delineated content from the first time frame to the second time frame.

32. The method according to claim 26, wherein the enrichment data includes topics associated with individual media posts of the plurality of media posts of the enriched first set and second set of aggregated geographically delineated content, and the incongruity includes a change in a volume of the media posts associated with an individual topic between the enriched first set of aggregated geographically delineated content and the enriched second set of aggregated geographically delineated content from the first time frame to the second time frame.

33. The method according to claim 26, wherein the enrichment data includes an image identification associated with individual media posts of the plurality of media posts of the enriched first set and second set of aggregated geographically delineated content, and the incongruity includes a change in a volume of the image identifications between the enriched first set of aggregated geographically delineated content and the enriched second set of aggregated geographically delineated content from the first time frame to the second time frame.

34. The method according to claim 26, further comprising:

generating a visualization of the detected incongruity.

35. The method according to claim 34, wherein the visualization includes a heatmap visualization having an image of the geographic location and a neighboring area geographically proximate the geographic location.

36. The method according to claim 34, wherein the visualization includes one of a graph, chart, and table.

37. The method according to claim 22, further comprising:

distributing the detected incongruity.

38. The method according to claim 26, wherein the at least one social media content source includes at least one social media content provider.

39. The method according to claim 26, wherein the at least one social media content source includes at least one enrichment database.

40. The method according to claim 22, wherein the input further includes an alert condition that defines an alert parameter and the method further comprises generating an alert responsive to determining that the alert condition has been satisfied.

41. The method according to claim 22, further comprising:

querying at least one social media content source and aggregating a third set of geographically delineated content including a plurality of media posts each generated by an author, the third set of content being received from the at least one social media content source.

42. The method according to claim 41, further comprising:

enhancing the third set of aggregated geographically delineated content with enrichment data to generate an enriched third set of aggregated geographically delineated content; and

detecting an incongruity from a comparison of the enriched first set of aggregated geographically delineated content, the enriched second set of aggregated geographically delineated content, and the enriched third set of aggregated geographically delineated content.