Dynamic Message Visibility Metric for Granular Privacy Control
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Solution Overview
Problem
Current messaging platforms have limited and static privacy customization options, failing to dynamically adjust visibility settings based on user interactions, sentiment, authenticity, and connection degrees, which limits granular control over message visibility and interactions.
Innovation Solution
A computer-implemented method that dynamically determines a visibility metric for messages, creating a user-specific list of interactable users and generating tailored user interfaces to obfuscate or reveal content based on response type, sentiment, authenticity, and interaction history, thereby enhancing privacy settings and interaction control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static privacy settings are used, then system complexity is reduced, but adaptability and granular control over message visibility deteriorate
Solution Approach 1:
The patent implements dynamic visibility settings that automatically adjust message visibility based on real-time analysis of user interactions, sentiment, authenticity, and connection degrees. The system transitions from static privacy configurations to dynamic, context-aware visibility control, allowing the same message to have different visibility levels for different user groups without requiring manual configuration for each scenario.
Solution Approach 2:
The system performs self-service by automatically determining message visibility without requiring users to manually configure complex privacy rules. The platform autonomously analyzes multiple factors including user sentiment, interaction history, and connection strength to dynamically create visibility lists, eliminating the need for users to understand or manage the underlying complexity of privacy control mechanisms.
2Adaptability or versatility
If dynamic visibility determination is implemented, then adaptability and privacy control are improved, but computational resources and processing time increase
Solution Approach 1:
The system performs preliminary analysis by pre-calculating and storing user profiles, interaction histories, and connection metrics before messages are posted. This advance preparation allows the dynamic visibility determination to reuse pre-computed data rather than analyzing all user relationships from scratch for each message, significantly reducing the computational burden during real-time message processing.
Solution Approach 2:
The patent applies different levels of analysis depth to different user groups and message types. Instead of uniformly analyzing all factors for every message, the system selectively applies detailed analysis only where necessary based on message sensitivity, user relationships, and interaction context, optimizing computational resource allocation by focusing processing power on critical visibility decisions.
3Ease of operation
If multiple user-specific interfaces are generated, then user privacy control and interaction management are enhanced, but device complexity and processing overhead increase
Solution Approach 1:
The patent implements a universal interface framework that dynamically configures the same base template with different visibility parameters for different user groups. Rather than creating entirely separate interfaces for each user, the system uses a single multi-functional interface structure that adapts its content visibility based on the user's position in the dynamically generated visibility lists, reducing interface generation complexity while maintaining personalized control.
4Measurement precision
If real-time sentiment and authenticity analysis is performed, then message visibility accuracy is improved, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary sentiment and authenticity analysis on user profiles and interaction histories before messages are posted. By pre-computing user sentiment scores, authenticity metrics, and interaction patterns, the system avoids performing these computationally intensive analyses in real-time during message posting, instead reusing pre-analyzed data to quickly determine message visibility.
Solution Approach 2:
The patent implements periodic updates of user sentiment and authenticity profiles rather than continuous real-time analysis. The system refreshes these metrics at scheduled intervals or triggered by significant interaction events, balancing measurement precision with processing time by avoiding constant re-analysis while maintaining up-to-date visibility determinations.
Data Source
AI summary
Embodiments of the present invention provide methods, computer program products, and systems. In response to receiving a message, embodiments of the present invention can determine a visibility metric associated with the received message. Embodiments of the present invention can then dynamically create a list of users able to interact with the message based on the determined visibility metric. Embodiments of the present invention can then perform an action based on the dynamically created list.