Granular Digital Content Tagging for Objectionable Material Control
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Solution Overview
Problem
Existing content rating systems for digital media are simplistic, arbitrary, and lack user control, often applying a wholesale rating to content regardless of its objectionable content, with users having no tools to manage or interact with ratings beyond perception.
Innovation Solution
Systems and methods for associating metadata with digital content items, allowing for explicit tagging by users or community reaction, enabling control over consumption by skipping, removing, or modifying objectionable content through timestamp-identified portions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a wholesale rating is applied to digital content items, then the rating process is simplified and can be implemented easily, but the precision of content classification deteriorates and user control is lost
Solution Approach 1:
The patent segments the content rating system into multiple discrete tags that can be independently assigned to different portions of digital content items. Each tag represents a specific attribute or characteristic, allowing granular classification rather than applying a single wholesale rating to the entire content item. This enables precise control over what aspects of the content are rated and how they are categorized.
Solution Approach 2:
The system applies different rating tags to different portions or aspects of the same digital content item based on local characteristics. Instead of uniformly rating the entire content item, the system allows specific segments, scenes, or attributes to receive targeted tags reflecting their unique properties, thereby achieving both ease of implementation through standardized tags and precision through localized application.
2Device complexity
If traditional rating systems are used, then the implementation is simple and widely accepted, but user control and interaction with ratings are eliminated
Solution Approach 1:
The patent enables users to actively participate in the rating process by allowing them to assign tags to digital content items themselves. Users can interact with the system to create, modify, and apply tags according to their own preferences and needs, transforming them from passive recipients of predetermined ratings into active participants who control the classification process.
Solution Approach 2:
The system incorporates feedback mechanisms where user interactions with tagged content inform and refine the tagging system. User behavior, preferences, and responses to tagged content provide continuous feedback that allows the system to adapt and improve, creating a dynamic relationship between users and the rating system rather than a static, one-way process.
Data Source
AI summary
A method of associating metadata with digital content items is provided. The method includes determining portions of a digital content item containing content meriting associating of preexisting or dynamically-determined metadata information, associating such preexisting or dynamically-determined metadata with selected portions of the digital content item via application of tags to the selected portions, and controlling, during a dynamically unfolding time interval definable via timestamps, subsequent consumption of the digital content item based on the intermittent presence of tags.