Systems and Methods for Token Management in Social Media Environments
Systems and techniques to enable token-related functionality within social media platforms are illustrated. One embodiment include a method for accessing tokens. The method derives characteristics of one or more tokens owned by a first account on a platform. The method reviews one or more external accounts on the platform for compatible tokens that share at least one of the characteristics. The method confirms a compatible token is owned by a second account of the one or more external accounts. The method accesses the compatible token.
1 . A method for generating enhanced content comprising:
receiving at least one input;
assessing a history comprising at least one content element, at least one content modification descriptor, and at least one user action descriptor;
determining at least one transformation based on the history;
applying the at least one transformation to the at least one input, resulting in at least one output; and
generating a token, based on the at least one output, wherein the generation is performed by at least one of minting and modification of data associated with the token.
2 . The method of claim 1 , wherein an input comprises at least one of an image, a video, an audio segment, and a text segment.
3 . The method of claim 1 , wherein an output comprises at least one of an image, a video, an audio segment, and a text segment.
4 . The method of claim 1 , wherein one or more transformations is selected from the group consisting of a selection of a content element, an edit of a content element, and a generation of a content element.
5 . The method of claim 1 , wherein the history is stored as a set of one or more records, wherein a record comprises at least one of a content element, a content modification descriptor, and a user action.
6 . The method of claim 5 , wherein a content descriptor is generated from a result of computational analysis of one or more inputs.
7 . The method of claim 5 , wherein a content modification descriptor is a description of a transformation.
8 . The method of claim 5 , wherein a user action is selected from a group consisting of a like, a dislike, and a use of content.
9 . The method of claim 1 , wherein the determining is performed, at least in part, by an algorithm selected from the group consisting of an artificial intelligence (AI) algorithm, an optimization algorithm, a reinforcement learning algorithm, and a supervised learning algorithm.
10 . The method of claim 6 , wherein the computational analysis of the input is a process selected from the group consisting of computer vision, machine listening, and text analysis.
11 . The method of claim 1 , wherein the transforming is performed at least in part using a process selected from the group consisting of an artificial intelligence (AI) method, a machine learning (ML) method, a generative adversarial network (GAN) method, a Style Transfer method, and a variational autoencoder method.
12 . The method of claim 11 , wherein the machine learning method is selected from the group consisting of a deep neural network, a transformer, and a convolutional neural network.
13 . The method of claim 1 , wherein the at least one user action descriptor is determined for the at least one output, based on a user indication.
14 . The method of claim 13 , wherein the user indication is received using a user interface.
15 . The method of claim 1 , wherein a user action descriptor is determined based on an action by one or more other users on a social media platform.
16 . The method of claim 15 , wherein the action is selected from the group consisting of a like, a share, a follow, and a comment.
17 . The method of claim 1 , wherein the token is a non-fungible token (NFT) comprising at least a portion of an output.
18 . The method of claim 5 , wherein the record comprises a reference to an NFT.
19 . The method of claim 1 , wherein at least a portion of the at least one output is conveyed to a social network.
20 . The method of claim 19 , wherein the conveyance is performed using an application programming interface (API).