- Number
- 12455916
- Published
- 2025-10-28
- Filed
- 2020-08-18
- Assignee
- DISNEY ENTERPRISES, INC.
- Inventors
- Johnson; Alexis et al.
- CPC
- H04N21/4318; H04N21/4532; G06F16/483; G06F16/438; G06F16/437; H04N21/4755; H04N21/4396; H04N21/458; H04N21/8456
- Verdict
- Set aside content moderation/censorship, business
- Source
- Google Patents · FreePatentsOnline
Abstract
Various embodiments set forth systems and techniques for personalizing censorship of digital content. The techniques include generating, based on a user characteristic, a censorship profile associated with a user, wherein the censorship profile identifies a censorship element; determining a censorship feature associated with the censorship element, wherein the censorship feature is to be activated during playback of digital content that includes the censorship element; identifying, based on temporal boundaries data and temporal facet data associated with a digital content item, one or more portions of the digital content item that include at least one element matching the censorship element; and activating the censorship feature during playback of the one or more portions of the digital content item.
Background
BACKGROUND Field of the Various Embodiments (1) The various embodiments relate generally to digital content and, more specifically, to personalized censorship of digital content. Description of the Related Art (2) As digital content (e.g., movies, games, music, podcasts, news, sports, audio, video, ringtones, advertisements, broadcasts, or the like) has become more prevalent, the need for censorship has increased. Censorship allows users to avoid viewing or experiencing offensive or unsuitable content, including certain categories of digital content, certain material or subject matter contained in digital content, or the like. (3) Users typically rely on traditional categories of digital content to determine whether or not to censor digital content. In some instances, categories are based on broad classifications of users based on characteristics such as age (e.g., PG-13, TV-14, or the like), geography, demographic information, or the like. In other instances, the categories are based on one or more characteristics of the digital content. For instance, digital content containing certain thematic elements that may require parental guidance include sub-ratings, such as DLSV categories (e.g., sexual or suggestive dialogue, coarse or crude language, sexual content, and violence), or the like. In some cases, digital content categories are based on broadcast network standards (e.g., FCC's standards related to obscene, indecent, or profane content), or the like. In other cases, user
Claims
1. A computer-implemented method for personalizing censorship of digital content, the method comprising: generating, based on a user characteristic, a censorship profile associated with a user, wherein the censorship profile identifies a censorship element, and the censorship element indicates at least one of an evaluation, rating, classification, flagging, tagging, restriction, exemption, or prohibition of content; identifying one or more smart groups of users based on the user characteristic, wherein each smart group is created based on at least one of one or more rules or one or more criteria; modifying one or more attributes of the censorship element based on a comparison with a corresponding censorship element in the one or more smart groups; determining a censorship feature associated with the censorship element, wherein the censorship feature is to be activated during playback of digital content that includes the censorship element; identifying, based on temporal boundaries data and temporal facet data associated with a digital content item, one or more portions of the digital content item that include at least one element matching the censorship element; and activating the censorship feature during playback of the one or more portions of the digital content item. ||
10. One or more non-transitory computer readable media storing instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of: generating, based on a user characteristic, a censorship profile associated with a user, wherein the censorship profile identifies a censorship element, and the censorship element indicates at least one of an evaluation, rating, classification, flagging, tagging, restriction, exemption, or prohibition of content; identifying one or more smart groups of users based on the user characteristic, wherein each smart group is created based on at least one of one or more rules or one or more criteria; modifying one or more attributes of the censorship element based on a comparison with a corresponding censorship element in the one or more smart groups; determining a censorship feature associated with the censorship element, wherein the censorship feature is to be activated during playback of digital content that includes the censorship element; identifying, based on temporal boundaries data and temporal facet data associated with a digital content item, one or more portions of the digital content item that include at least one element matching the censorship element; and activating the censorship feature during playback of the one or more portions of the digital content item. ||
18. A system, comprising: a memory storing one or more software applications; and a processor that, when executing the one or more software applications, is configured to perform the steps of: generating, based on a user characteristic, a censorship profile that is personalized for a user, wherein the censorship profile identifies a censorship element, and the censorship element indicates at least one of an evaluation, rating, classification, flagging, tagging, restriction, exemption, or prohibition of content, identifying one or more smart groups of users based on the user characteristic, wherein each smart group is created based on at least one of one or more rules or one or more criteria, modifying one or more attributes of the censorship element based on a comparison with a corresponding censorship element in the one or more smart groups, determining a censorship feature associated with the censorship element, wherein the censorship feature is to be activated during playback of digital content that includes the censorship element, identifying, based on temporal boundaries data and temporal facet data associated with a digital content item, one or more portions of the digital content item that include at least one element matching the censorship element, and activating the censorship feature during playback of the one or more portions of the digital content item.