SOCIAL MEDIA CONTROL PROVISIONING BASED ON A TRUSTED NETWORK

• US 20200134095A1
• Filed: 10/27/2018
• Published: 04/30/2020
• Est. Priority Date: 10/27/2018
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Weldemariam, Komminist, Markus Serfaty, Isaac, Diriye, Abdigani, Kwatra, Shikhar, Gordon, Michael S.
• Granted Patent: US 11,010,437 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/35 Clustering; Classification
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 40/284 Lexical analysis, e.g. tokenisation or collocates
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 63/108 when the policy decisions are valid for a limited amount of time

Abstract

A social media control method, system, and computer program product, include detecting a contextual meaning of a content of a third-party post on a user'"'"'s social media account, classifying the content into user-defined categories based on an overlap between the contextual meaning and the user-defined categories, identifying an undesired piece of information from the content, identifying a trusted online friend within a social media circle of the user, and providing a one-time access control to the identified trusted online friend to rectify the undesired content in the third-party post.

Claims

1. A computer-implemented social media control method, the method comprising:

detecting a contextual meaning of a content of a third-party post on a user'"'"'s social media account;

classifying the content into user-defined categories based on an overlap between the contextual meaning and the user-defined categories;

identifying an undesired piece of information from the content;

identifying a trusted online friend within a social media circle of the user; and

providing a one-time access control to the identified trusted online friend to rectify the undesired content in the third-party post.

2. The computer-implemented method of claim 1, further comprising prompting a graphical user interface (GUI) to open on a device of the trusted online friend that includes the one-time access control to rectify the undesired content.

3. The computer-implemented method of claim 1, wherein the identifying identifies the undesired piece of information based on patterns of previous posts and comments posted by friends of the user along with a semantic understanding of the responses to the posted content and the associated metadata tagging based on an understanding of the user'"'"'s activities stored in a database.

4. The computer-implemented method of claim 1, wherein the identifying the trusted online friend comprises identifying a type of a friend as the trusted online friend based on an analysis and a profiling of reactions, comments, and likes to historical posts.

5. The computer-implemented method of claim 1, wherein the providing the one-time access control to the identified trusted online friend is based on the user'"'"'s relationship establishment with the social media circle of the user and responses to the user'"'"'s previously posted content, the relationship establishment being fetched from an understanding of a level of engagement with the trusted online friend.

6. The computer-implemented method of claim 1, further comprising learning a reaction of the user and a response of the user to the undesired content and checking for an action taken by the user.

7. The computer-implemented method of claim 1, further comprising generating a report of the contextual meaning that triggers the providing, being used to inform the user, validate the providing, and collect additional training data for assessing user intent in posted content to identify undesirable content accurately.

8. The computer-implemented method of claim 1, wherein an option is provided to the user to one of to deny changes by the identified trusted online friend and to keep changes by the identified trusted online friend.

9. The computer-implemented method of claim 1, wherein the undesired content includes:

a portion of text;

a picture containing images of people other than those intended to be photographed;

an audio recording having undesired sounds; and

an audio recording having audio from people other than those for which the recording was intended.

10. The computer-implemented method of claim 1, embodied in a cloud-computing environment.

11. A computer program product for social media, the computer program product comprising a computer-readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform:

detecting a contextual meaning of a content of a third-party post on a user'"'"'s social media account;

classifying the content into user-defined categories based on an overlap between the contextual meaning and the user-defined categories;

identifying an undesired piece of information from the content;

identifying a trusted online friend within a social media circle of the user, and

providing a one-time access control to the identified trusted online friend to rectify the undesired content in the third-party post.

12. The computer program product of claim 11, further comprising prompting a graphical user interface (GUI) to open on a device of the trusted online friend that includes the one-time access control to rectify the undesired content.

13. The computer program product of claim 11, wherein the identifying identifies the undesired piece of information based on patterns of previous posts and comments posted by friends of the user along with a semantic understanding of the responses to the posted content and the associated metadata tagging based on an understanding of the user'"'"'s activities stored in a database.

14. The computer program product of claim 11, wherein the identifying the trusted online friend comprises identifying a type of a friend as the trusted online friend based on an analysis and a profiling of reactions, comments, and likes to historical posts.

15. The computer program product of claim 11, wherein the providing the one-time access control to the identified trusted online friend is based on the user'"'"'s relationship establishment with the social media circle of the user and responses to the user'"'"'s previously posted content, the relationship establishment being fetched from an understanding of a level of engagement with the trusted online friend.

16. The computer program product of claim 11, further comprising learning a reaction of the user and a response of the user to the undesired content and checking for an action taken by the user.

17. The computer program product of claim 11, further comprising generating a report of the contextual meaning that triggers the providing, being used to inform the user, validate the providing, and collect additional training data for assessing user intent in posted content to identify undesirable content accurately.

18. The computer program product of claim 11, wherein an option is provided to the user to one of to deny changes by the identified trusted online friend and to keep changes by the identified trusted online friend.

19. A social media system, said system comprising:

a processor, and

a memory, the memory storing instructions to cause the processor to perform;

detecting a contextual meaning of a content of a third-party post on a user'"'"'s social media account;

classifying the content into user-defined categories based on an overlap between the contextual meaning and the user-defined categories;

identifying an undesired piece of information from the content;

identifying a trusted online friend within a social media circle of the user; and

providing a one-time access control to the identified trusted online friend to rectify the undesired content in the third-party post.

20. The system of claim 19, embodied in a cloud-computing environment.