Detecting online contextual evolution of linguistic terms

A system comprising:

• one or more processors;
• and
• a non-transitory computer-readable medium storing instructions that, when executed by the one or more processors, cause the one or more processors to:
• detect an increase in use of a linguistic term at a messaging source;
• determine that a plurality of linguistic terms related to the linguistic term are disproportionally related to the increase in use of the linguistic term at the messaging source;
• determining a history of interaction using the linguistic term from a sending user to a receiving user at another messaging source;
• identify a possible evolution of the linguistic term based on user reactions to the linguistic term at the messaging source, wherein the identifying the possible evolution considers the history of interaction;
• classify one or more messages as including an evolved use of the linguistic term;
• and
• send a message for confirmation of the evolved use by a moderator.

A non-transitory computer-readable storage medium comprising instructions stored thereon, the instructions effective to cause a system to:

• detect an increase in use of a linguistic term at a messaging source;
• determine that a plurality of linguistic terms related to the linguistic term are disproportionally related to the increase in use of the linguistic term at the messaging source;
• determine a history of interaction using the linguistic term from a sending user to a receiving user at another messaging source;
• identify a possible evolution of the linguistic term based on user reactions to the linguistic term at the messaging source, wherein the identifying the possible evolution considers the history of interaction;
• classify one or more messages as including an evolved use of the linguistic term;
• and
• send a message for confirmation of the evolved use by a moderator.