VISIBILITY MANAGEMENT ENHANCEMENT FOR MESSAGING SYSTEMS AND ONLINE SOCIAL NETWORKS

• US 20180103003A1
• Filed: 10/06/2016
• Published: 04/12/2018
• Est. Priority Date: 10/06/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bastide, Paul R., Bradley, Lisa M. W., Dunne, Jonathan, Harpur, Liam
• Granted Patent: US 10,361,989 B2
• Time in Patent Office: Days
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/55 Push-based network services

Abstract

A method, a processing device, and a computer program product are provided. An initial state of a message is captured by at least one processing device. At least one external reference from the message is extracted by the least one processing device. The at least one external reference is analyzed to establish a baseline state of the message. A state of the message is monitored with respect to the baseline state of the message. A visibility of the message is changed based on detecting changes in relation to the baseline state of the message.

Claims

1. A computer-implemented method for content visibility management in a communication system, the computer-implemented method comprising:

capturing, by at least one processing device, an initial state of a message;

extracting, by the at least one processing device, at least one external reference from the message;

analyzing, by the at least one processing device, the at least one external reference to establish a baseline state of the message;

monitoring, by the at least one processing device, a state of the message with respect to the baseline state of the message; and

changing, by the at least one processing device, a visibility of the message based on detecting changes in relation to the baseline state of the message.

2. The computer-implemented method of claim 1, wherein the capturing an initial state of a message further comprises:

detecting the message when a push event occurs as a result of the message being published to a subscriber and the subscriber acting on the message; and

detecting an updated entry when a pull event occurs and the updated entry is added to a message list.

3. The computer-implemented method of claim 2, wherein each push event and each pull event comprises at least one item of information from a group consisting of field level data, content data, sentiment information, grammar information, a video reference, an image reference, generation data, location history, and language information.

4. The computer-implemented method of claim 1, wherein the analyzing the at least one external reference to establish a baseline state of the message further comprises:

retrieving each of the at least one reference at a time of creation or first analysis;

storing a baseline as a function of data elements and as a representation of the at least one external reference; and

storing a binary representation of a URL or an image.

5. The computer-implemented method of claim 1, wherein the monitoring the baseline state of the message further comprises:

continually retrieving data related to the at least one external message;

building a model which predicts a level of change between the baseline state and a new state of the message; and

predicting a decay of a state of a referenced object based on the predictive model.

6. The computer-implemented method of claim 1, wherein the changing a visibility of the message based on detecting changes in relation to the baseline state of the message further comprises:

changing the visibility of the message in response to detecting a change that is beyond a threshold in relation to the baseline state of the message, the visibility of the message being changed with respect to at least one of a plurality of categories of users.

7. The computer-implemented method of claim 1, further comprising:

monitoring, in a bulk operation, one or more duplicate states of one or more other messages with respect to the baseline state or one or more similar states of one or more other messages with respect to the baseline state; and

updating a state of the message and a respective state of the one or more other messages based on the monitoring in the bulk operation.

8. The computer-implemented method of claim 1, further comprising:

prompting an original author of the message to remove the message based on detecting a level of changes in relation to the baseline state of the message.

9. A system for content visibility management in a communication system, the system comprising:

at least one processor; and

at least one memory connected to the at least one processor, the at least one memory including instructions to configure the at least one processor to;

capture an initial state of a message,

extract at least one external reference from the message,

analyze the at least one external reference to establish a baseline state of the message,

monitor a state of the message with respect to the baseline state of the message; and

change a visibility of the message based on detecting changes in relation to the baseline state of the message.

10. The system of claim 9, wherein capturing an initial state of a message further comprises:

detecting the message when a push event occurs as a result of the message being published to a subscriber and the subscriber acting on the message; and

detecting an updated entry when a pull event occurs and the updated entry is added to a message list.

11. The system of claim 10, wherein each push event and each pull event comprises at least one item of information from a group consisting of field level data, content data, sentiment information, grammar information, a video reference, an image reference, generation data, location history, and language information.

12. The system of claim 9, wherein analyzing the at least one external reference to establish a baseline state of the message further comprises:

retrieving each of the at least one reference at a time of creation or first analysis;

storing a baseline as a function of data elements and as a representation of the at least one external reference; and

storing a binary representation of a URL or an image.

13. The system of claim 9, wherein monitoring the baseline state of the message further comprises:

continually retrieving data related to the at least one external message;

building a predictive model which predicts a level of change between the baseline state and a new state of the message; and

predicting a decay of a state of a referenced object based on the predictive model.

14. The system of claim 9, wherein changing a visibility of the message based on detecting changes in relation to the baseline state of the message further comprises:

changing the visibility of the message in response to detecting a change that is beyond a threshold in relation to the baseline state of the message, the visibility of the message being changed with respect to at least one of a plurality of categories of users.

15. The system of claim 9, wherein the at least one processor is further configured to:

monitor, in a bulk operation, one or more duplicate states of one or more other messages with respect to the baseline state or one or more similar states of one or more other messages with respect to the baseline state; and

update a state of the message and a respective state of the one or more other messages based on the monitoring in the bulk operation.

16. The system of claim 9, wherein the at least one processor is further configured to:

prompt an original author of the message to remove the message based on detecting a level of changes in relation to the baseline state of the message.

17. A computer program product comprising:

at least one computer readable storage medium having computer readable program code embodied therewith for execution on a processing device, the computer readable program code being configured to be executed by the processing device to;

capture an initial state of a message,

extract at least one external reference from the message,

analyze the at least one external reference to establish a baseline state of the message,

monitor a state of the message with respect to the baseline state of the message; and

change a visibility of the message based on detecting changes in relation to the baseline state of the message.

18. The computer program product of claim 17, wherein the computer readable program code being configured to be executed by the processing device to capture an initial state of a message is further configured to be executed by the processing device to:

detect the message when a push event occurs as a result of the message being published to a subscriber and the subscriber acting on the message; and

detect an updated entry when a pull event occurs and the updated entry is added to a message list, wherein

each push event and each pull event comprises at least one item of information from a group consisting of field level data, content data, sentiment information, grammar information, a video reference, an image reference, generation data, location history, and language information.

19. The computer program product of claim 17, wherein the computer readable program code is further configured to be executed by the processing device to:

monitor, in a bulk operation, one or more duplicate states of one or more other messages with respect to the baseline state or one or more similar states of one or more other messages with respect to the baseline state;

update a state of the message and a respective state of the one or more other messages based on the monitoring in the bulk operation; and

prompt an original author of the message to remove the message based on detecting a level of changes in relation to the baseline state of the message.

20. The computer program product of claim 17, wherein the computer readable program code being configured to be executed by the processing device to monitor a state of the message as compared with the baseline state of the message is further configured to be executed by the processing device to:

continually retrieve data related to the at least one external message;

build a predictive model which predicts a level of change between the baseline state and a new state of the message; and

predict a decay of a state of a referenced object based on the predictive model.