Abstract: One or more aspects of the present disclosure are directed to a digital social medial platform configured to automatically identify and tag elements in an upload content using machine learning techniques. In one aspect, a method includes receive media content; automatically identify one or more elements and associated metadata in the media content using a machine learning technique; embed one or more hashtags within the media content, each of which corresponds to one of the one or more elements identified in the media content; publish the media content with the one or more hashtags; track engagements of one or more users with the media content having the one or more hashtag to yield a set of statistics; and generate a user-specific loyalty identifier for a user associated with the media content, based on the set of statistics.

Abstract: Systems and methods are provided for a digital social media platform that enables embedding of hashtags in user generated content uploaded to the digital social media platform and a secure tracking of the embedded hashtags to create user specific loyalty identifiers. In one aspect, a method includes receiving media content and at least one set of metadata, each set of metadata identifying information associated with a corresponding element within the media content; generating a hashtag for the corresponding element based on a corresponding set of metadata; embedding the hashtag within the media content; publishing the media content with at least one embedded hashtag; tracking engagements of one or more users with the media content having the at least one embedded hashtag to yield a set of statistics; and generating a user specific loyalty identifier for a user associated with the media content, based on the set of statistics.