Techniques for prediction of popularity of media

A system for predicting the popularity of media, the system comprising:

• one or more processors communicatively coupled to a network;
• wherein the one or more processors are configured to:
• determine a publication time associated with digital media;
• set a predetermined time threshold based on the publication time;
• analyze the digital media to determine at least one feature associated with the digital media;
• compile the determined at least one feature;
• predict a popularity associated with the digital media based on the compiled at least one feature;
• and
• output the predicted popularity,
• wherein the at least one feature associated with the digital media is determined before the predetermined time threshold.

A system for predicting the popularity of media, the system comprising:

• at least one processor configured to:
• analyze a digital media hosted on a server, the analyzing including determining a plurality of features associated with the digital media, wherein the plurality of features include a temporal feature, a social feature, a contextual feature, and a metadata feature;
• compile the determined plurality of features in real time along with activity associated with the digital media, the activity including a determined number of interactions with the digital media on at least one social media platform;
• and
• predict a popularity associated with the digital media based on the compiled plurality of features and activity;
• and
• at least one memory, coupled to the at least one processor, configured to provide the at least one processor with instructions.