Post syndication through artificial intelligence cross-pollination

A system comprising:

• one or more processors;
• and
• a memory coupled to the one or more processors, the memory comprising instructions executable by the one or more processors, the one or more processors being operable when executing the instructions to:
• identify a first post that is submitted to a first group of a social network;
• identify that the first post is a cross-pollination candidate;
• identify a second group of the social network;
• generate a first vector that is to represent one of the first post or the first group;
• generate a second vector that is to represent the second group;
• determine whether the second group matches a cross-pollination criteria based on a comparison of the first vector to the second vector;
• and
• determine whether to automatically generate a second post based on the first post, and submit the second post to the second group based on whether the second group matches the cross-pollination criteria.

A method comprising:

• identifying a first post that is submitted to a first group of a social network;
• identifying that the first post is a cross-pollination candidate;
• identifying a second group of the social network;
• generating a first vector that is to represent one of the first post or the first group;
• generating a second vector that is to represent the second group;
• determining whether the second group matches a cross-pollination criteria based on a comparison of the first vector to the second vector;
• and
• determining whether to automatically generate a second post based on the first post, and submit the second post to the second group based on whether the second group matches the cross-pollination criteria.