MESSAGE MANAGEMENT IN A SOCIAL NETWORKING ENVIRONMENT

• US 20180101590A1
• Filed: 10/10/2016
• Published: 04/12/2018
• Est. Priority Date: 10/10/2016
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bastide, Paul R., Broomhall, Matthew E., Evans, IV, Thomas J., Loredo, Robert E.
• Application Number:
  US15/289,895
• Publication Number:
  US 20180101590A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/2455 Query execution
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/27 Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 40/253 Grammatical analysis; Style critique
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 51/216 Handling conversation history, e.g. grouping of messages in sessions or threads
• CPC Class Codes: H04L 51/52 for supporting social networking services

Abstract

Disclosed aspects relate to message management utilizing a social networking environment. A set of message data may be detected in the social networking environment. A set of dynamic event data related to a dynamic event may be ingested. A set of inference data related to the dynamic event may be resolved using the set of dynamic event data related to the dynamic event. A corroboration relationship with respect to the set of message data and the set of inference data may be determined by correlating the set of message data with the set of inference data. Based on the corroboration relationship, a corroborated message related to the dynamic event may be compiled.

Claims

1. A computer-implemented method for message management utilizing a social networking environment, the method comprising:

detecting, in the social networking environment, a set of message data;

ingesting a set of dynamic event data related to a dynamic event;

resolving, using the set of dynamic event data related to the dynamic event, a set of inference data related to the dynamic event;

determining, by correlating the set of message data with the set of inference data, a corroboration relationship with respect to the set of message data and the set of inference data; and

compiling, based on the corroboration relationship with respect to the set of message data and the set of inference data, a corroborated message related to the dynamic event.

2. The method of claim 1, further comprising:

monitoring the set of dynamic event data related to the dynamic event.

3. The method of claim 1, further comprising:

capturing a set of data objects using the set of dynamic event data related to the dynamic event; and

analyzing, to resolve the set of inference data related to the dynamic event, the set of data objects.

4. The method of claim 1, further comprising:

augmenting, in the social networking environment based on the correlating, the set of message data using the set of inference data to compile the corroborated message.

5. The method of claim 4, wherein augmenting the set of message data using the set of inference data benefits a content reliability score for the corroborated message.

6. The method of claim 1, wherein the set of dynamic event data is selected from a group consisting of:

audio data, video data, still image data, textual data, chat data, web conference data, and streaming data.

7. The method of claim 1, further comprising:

extracting, from the set of dynamic event data to resolve the set of inference data related to the dynamic event, a set of data elements.

8. The method of claim 7, wherein the set of data elements includes:

a natural language,

a topic,

media, and

a location.

9. The method of claim 1, further comprising:

comparing a message topical element of the set of message data with an inferred topical element of the set of inference data.

10. The method of claim 1, further comprising:

comparing a message grammatical element of the set of message data with an inferred grammatical element of the set of inference data.

11. The method of claim 1, further comprising:

comparing a message temporal element of the set of message data with an inferred temporal element of the set of inference data.

12. The method of claim 1, further comprising:

sensing, in the social networking environment, a search which indicates an attribute of the dynamic event;

presenting, in response to the search, the corroborated message using the set of inference data.

13. The method of claim 1, further comprising:

presenting, in a viewstream in the social networking environment, the corroborated message without displaying the set of inference data.

14. The method of claim 1, wherein the corroboration relationship substantiates the set of message data by processing the set of inference data.

15. The method of claim 1, wherein the corroboration relationship substantiates the set of inference data by processing the set of message data.

16. The method of claim 1, wherein the detecting, the ingesting, the resolving, the determining, and the compiling each occur in a dynamic fashion to streamline message management.

17. The method of claim 1, wherein the detecting, the ingesting, the resolving, the determining, and the compiling each occur in an automated fashion without user intervention.

18. A system of message management utilizing a social networking environment, the system comprising:

a memory having a set of computer readable computer instructions, and

a processor for executing the set of computer readable instructions, the set of computer readable instructions including;

detecting, in the social networking environment, a set of message data;

ingesting a set of dynamic event data related to a dynamic event;

resolving, using the set of dynamic event data related to the dynamic event, a set of inference data related to the dynamic event;

determining, by correlating the set of message data with the set of inference data, a corroboration relationship with respect to the set of message data and the set of inference data; and

compiling, based on the corroboration relationship with respect to the set of message data and the set of inference data, a corroborated message related to the dynamic event.

19. A computer program product for message management utilizing a social networking environment, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a processor to cause the processor to perform a method comprising:

detecting, in the social networking environment, a set of message data;

ingesting a set of dynamic event data related to a dynamic event;

resolving, using the set of dynamic event data related to the dynamic event, a set of inference data related to the dynamic event;

determining, by correlating the set of message data with the set of inference data, a corroboration relationship with respect to the set of message data and the set of inference data; and

compiling, based on the corroboration relationship with respect to the set of message data and the set of inference data, a corroborated message related to the dynamic event.

20. The computer program product of claim 19, wherein at least one of:

the program instructions are stored in the computer readable storage medium in a data processing system, and wherein the program instructions were downloaded over a network from a remote data processing system;

or

the program instructions are stored in the computer readable storage medium in a server data processing system, and wherein the program instructions are downloaded over a network to the remote data processing system for use in a second computer readable storage medium with the remote data processing system.