Audience-Based Content Modification

A computer-implemented method for content augmentation, the method comprising:

• obtaining, by a computing system comprising one or more processors, a content item to be displayed via a graphical user interface, wherein the content item comprises one or more text strings;
• obtaining, by the computing system, historical user data associated with a particular user requesting to view the graphical user interface that comprises the content item, wherein the historical user data is descriptive of linguistic characteristics of previous content items the particular user has interacted with in previous content interactions;
• determining, by the computing system, an augmentation action based on the linguistic characteristics and the one or more text strings of the content item, wherein the augmentation action comprises augmenting the content item to comprise at least a subset of the linguistic characteristics of the historical user data;
• processing, by the computing system, the content item and the augmentation action with a generative language model to generate an alternative content item, wherein the alternative content item comprises an augmented version of the content item that comprises the at least the subset of the linguistic characteristics;
• and
• providing, by the computing system, the graphical user interface for display to the particular user with the content item replaced with the alternative content item.

One or more non-transitory computer-readable media that collectively store instructions that, when executed by one or more computing devices, cause the one or more computing devices to perform operations, the operations comprising:

• obtaining a content item for inclusion in a graphical user interface, wherein the content item comprises one or more text strings;
• obtaining user profile data associated with a particular user requesting to view the graphical user interface that comprises the content item, wherein the user profile data is descriptive of previous content items viewed by the particular user;
• determining one or more topics associated with the one or more text strings of the content item;
• processing the one or more topics and the user profile data to determine one or more expertise levels of the particular user, wherein the one or more expertise levels of the particular user are descriptive of a determined level of knowledge of the particular user with the one or more topics;
• processing the content item and data descriptive of the one or more expertise levels of the particular user with a generative language model to generate an alternative content item, wherein the alternative content item comprises an augmented version of the content item based on the one or more expertise levels of the particular user;
• and
• providing the graphical user interface for display to the particular user with the content item replaced with the alternative content item.