Content Authorization System Using Context Analysis
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Solution Overview
Problem
Users of social networks face challenges in preventing the inadvertent or unintentional sharing of inappropriate or embarrassing content, relying on conscious self-review which is not always effective.
Innovation Solution
A computer-implemented method that analyzes context data associated with user-generated content and forwards it to an authorizer for review based on predefined rules, ensuring that content is only shared after authorization, which can include biometric data indicating the user's physical condition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users rely on conscious self-review to prevent inappropriate content sharing, then users maintain control over their content, but the effectiveness of preventing embarrassing or inappropriate content is reduced
Solution Approach 1:
The patent introduces an intermediary authorizer (third party) who reviews content before it is shared. This mediator evaluates the content based on predefined criteria and either approves or rejects it, thereby improving the reliability of content review while maintaining a manageable system complexity through automated workflows and clear role definitions.
2Reliability
If content is reviewed by an authorizer before sharing, then the risk of inappropriate content being shared is reduced, but the time required for content sharing is increased
Solution Approach 1:
The system performs preliminary actions by pre-defining authorization criteria, rules, and thresholds before content review. Context data such as time of day, user state, and content characteristics are analyzed in advance to determine whether review is necessary, enabling faster processing by avoiding unnecessary reviews and reducing overall sharing time while maintaining high authorization accuracy.
Solution Approach 2:
The system enables self-service through automated context analysis and rule-based filtering. The computing device automatically analyzes context data, determines review necessity, and routes content appropriately without requiring manual intervention for every piece of content, thereby reducing time loss while maintaining reliable authorization.
3Productivity
If context data analysis is performed to determine content review necessity, then the efficiency of the review process is improved, but the complexity of the system increases
Solution Approach 1:
The computing device performs self-service by automatically collecting, analyzing, and interpreting context data using predefined rules and algorithms. This automated approach improves content review efficiency by quickly determining whether review is necessary, while managing system complexity through modular architecture and reusable analysis components.
Solution Approach 2:
The system utilizes parameter changes in context data (such as time, user state, content type) to dynamically adjust review requirements. By monitoring changes in these parameters and comparing them against predefined thresholds and rules, the system efficiently determines review necessity without requiring complex manual evaluation, thereby improving productivity while keeping system complexity manageable.
Data Source
AI summary
Systems and methods for providing authorization of user-generated content are described, including a computer-implemented method for providing content by a first user is provided, including receiving, by one or more computing devices, content from the first user, analyzing context data associated with the content received from the first user, providing the content received from the first user to an authorizer based on a result of the analyzing the context data associated with the content, and providing the content of the first user to a second user in response to receiving an authorization from the authorizer.