Offensive Content Analysis System for Dynamic Communication Monitoring
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Solution Overview
Problem
Existing internet and messaging security features are inadequate in protecting individuals, particularly children, from accessing inappropriate or offensive material due to the dynamic nature of online content, as filtering websites does not cover all potential sources of offensive content.
Innovation Solution
A method that detects offensive behavior in communications by determining a current offensive behavior metric and historical pattern, comparing it to a threshold level set by an enforcement entity, and notifying the entity if the behavior exceeds this threshold, using an offensive content analysis system that monitors communications and takes appropriate actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If website filtering is used to block offensive content, then protection against known offensive material is improved, but the system cannot protect against ever-changing content on the internet
Solution Approach 1:
The system performs preliminary analysis of communications by evaluating current offensive behavior metrics and comparing them against historical patterns before allowing content to reach users. This proactive approach enables the system to block offensive content based on learned patterns rather than relying solely on pre-defined filters, thus addressing both reliability and adaptability requirements
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring communication content, comparing current offensive behavior metrics against historical patterns, and adjusting its protection strategies accordingly. This closed-loop approach allows the system to adapt to ever-changing content while maintaining reliable protection through continuous learning and pattern recognition
2Measurement precision
If comprehensive monitoring of all communications is implemented to detect offensive behavior, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The system applies partial monitoring by focusing computational resources on evaluating specific offensive behavior metrics that are most relevant to user safety. Rather than analyzing every aspect of each communication in equal detail, the system selectively measures key indicators of offensive behavior, achieving high detection accuracy while managing system complexity through prioritized analysis
Data Source
AI summary
A system and method for protecting a user from offensive behavior in communications and notifying the user and/or an enforcement entity of the offensive behavior. The offensive content analysis system monitors communications between users for offensive behavior. The offensive content analysis system may measure the level of current offense in the communication and determine a historical offensive behavior pattern for the user. The offensive content analysis system may then determine if the offensive behavior, both current and historical, rises to a threshold behavior level. The offensive content analysis system may take notification action if the offensive behavior meets the threshold level.


