Assisting users to interact with message threads on social media

1. A method for assisting users to interact with message threads on social media, the method comprising:

monitoring, using one or more processors, a message thread comprised of a plurality of messages among a group of users on a social media platform for content that is inflammatory, based on defined criteria, to one of the users, the monitoring a message thread on social media platform for content that is inflammatory comprising:

analyzing, using the one or more processors, groups of messages on social media sites for topic and emotive sentiment, said analyzing including utilizing a natural language classifier to derive an emotive content of the message thread; and

when the inflammatory content has a defined condition, preventing, using one or more processors, said one of the users from posting messages to the message thread for a specified length of time, the preventing comprising: responding to an indicator trigger set within the natural language classifier based upon the derived emotive content,

wherein the monitoring a message thread on social media platform for content that is inflammatory further comprises:

using the topic and emotive sentiment to provide a summary of inflammatory content in the message thread, the using the topics and emotive sentiment to provide a summary of inflammatory content in the message thread further comprising:

deriving a latent class model to determine types and levels of inflammatory content in the groups of messages on the social media sites, the determining, by the one or more processors, within the latent class model, types and levels of inflammatory content in the groups, further comprising:

using, by the one or more processor, a multivariate mixture estimation (MME) to determine a probability of a behavior occurring within a hierarchy of the class based on an output score value of the natural language classifier.

2. The method according to claim 1 , wherein the defined condition of the inflammatory content is a defined level of the inflammatory content in the message thread.

3. The method according to claim 1 , wherein the defined condition of the inflammatory content is a defined increasing trend of the inflammatory content in the message thread.

4. The method according to claim 1 , wherein the monitoring a message thread on a social media platform includes:

categorizing potentially inflammatory content to the one user into a plurality of categories; and

for each of the categories, specifying an inflammatory content level.

5. The method according to claim 4 , wherein the monitoring a message thread on a social media platform further includes:

for each of the categories, specifying a channel freeze period.

6. The method according to claim 1 , wherein the using the topic and emotive sentiment to provide a summary of inflammatory content in the message thread includes:

grouping channels and forums of the social media by topic;

sorting the topics and data from the channels and forums; and

filtering the data to prepare for an inflammatory content vetting process.

7. The method according to claim 1 , wherein the monitoring a message thread on a social media platform includes:

using a velocity of postings of messages in the message thread to monitor a level of emotion within the message thread.

8. A computer system for assisting users to interact with message threads on social media, the computer system comprising:

a memory for storing data;

one or more processing units connected to the memory for sending data to and receiving data from the memory, said one or more processing units being configured for:

monitoring a message thread comprised of a plurality of messages among a group of users on a social media platform for content that is inflammatory, based on defined criteria, to one of the users, the monitoring a message thread on social media platform for content that is inflammatory comprising:

analyzing, using the one or more processors, groups of messages on social media sites for topic and emotive sentiment, said analyzing including utilizing a natural language classifier to derive an emotive content of the message thread; and

when the inflammatory content has a defined condition, preventing said one of the users from posting messages to the message thread for a specified length of time, the preventing comprising: responding to an indicator trigger set within the natural language classifier based upon the derived emotive content,

wherein the monitoring a message thread on social media platform for content that is inflammatory further comprises:

using the topic and emotive sentiment to provide a summary of inflammatory content in the message thread, the using the topics and emotive sentiment to provide a summary of inflammatory content in the message thread further comprising:

deriving a latent class model to determine types and levels of inflammatory content in the groups of messages on the social media sites, the determining, by the one or more processors, within the latent class model, types and levels of inflammatory content in the groups, further comprising:

using, by the one or more processor, a multivariate mixture estimation (MME) to determine a probability of a behavior occurring within a hierarchy of the class based on an output score value of the natural language classifier.

9. The computer system according to claim 8 , wherein the defined condition of the inflammatory content is a defined level of the inflammatory content in the message thread.

10. The computer system according to claim 8 , wherein the defined condition of the inflammatory content is a defined increasing trend of the inflammatory content in the message thread.

11. The computer system according to claim 8 , wherein the monitoring a message thread on a social media platform includes:

categorizing potentially inflammatory content to the one user into a plurality of categories; and

for each of the categories, specifying an inflammatory content level, and specifying a channel freeze period.

12. The computer system according to claim 8 , wherein the monitoring a message thread on a social media platform includes:

using a velocity of postings of messages in the message thread to monitor a level of emotion within the message thread.

13. A computer readable program storage device comprising:

a computer readable storage medium having program instructions embodied therein for assisting users to interact with message threads on social media, the program instructions executable by a computer to cause the computer to perform the method of:

monitoring a message thread comprised of a plurality of messages among a group of users on a social media platform for content that is inflammatory, based on defined criteria, to one of the users, the monitoring a message thread on social media platform for content that is inflammatory comprising:

analyzing, using the one or more processors, groups of messages on social media sites for topic and emotive sentiment, said analyzing including utilizing a natural language classifier to derive an emotive content of the message thread; and

when the inflammatory content has a defined condition, preventing said one of the users from posting messages to the message thread for a specified length of time, the preventing comprising: responding to an indicator trigger set within the natural language classifier based upon the derived emotive content,

wherein the monitoring a message thread on social media platform for content that is inflammatory further comprises:

using the topic and emotive sentiment to provide a summary of inflammatory content in the message thread, the using the topics and emotive sentiment to provide a summary of inflammatory content in the message thread further comprising:

deriving a latent class model to determine types and levels of inflammatory content in the groups of messages on the social media sites, the determining, by the one or more processors, within the latent class model, types and levels of inflammatory content in the groups, further comprising:

using, by the one or more processor, a multivariate mixture estimation (MME) to determine a probability of a behavior occurring within a hierarchy of the class based on an output score value of the natural language classifier.

14. The computer readable program storage device according to claim 13 , wherein the defined condition of the inflammatory content is a defined level of the inflammatory content in the message thread.

15. The computer readable program storage device according to claim 13 , wherein the defined condition of the inflammatory content is a defined increasing trend of the inflammatory content in the message thread.

16. The computer readable program storage device according to claim 13 , wherein the monitoring a message thread on a social media platform includes:

categorizing potentially inflammatory content to the one user into a plurality of categories; and

for each of the categories, specifying an inflammatory content level, and specifying a channel freeze period.

17. The computer readable program storage device according to claim 13 , wherein the monitoring a message thread on a social media platform includes:

using a velocity of postings of messages in the message thread to monitor a level of emotion within the message thread.