Event Processor for Detecting Inappropriate Online Activity
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Solution Overview
Problem
Current methods for detecting inappropriate activity in online communities, particularly between adults and minors, are inefficient and prone to missing subtle clues due to reliance on human monitors and limited filtering, which can be costly and ineffective.
Innovation Solution
A computer-implemented event processor is used to analyze messages and data streams in real-time, defining and detecting specific events indicative of pedophile activity, such as repeated inappropriate communications, and issuing notifications for further review.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human monitors are employed to detect inappropriate conversations, then detection capability is improved, but cost and reliability deteriorate due to human distraction, boredom, and missed clues
Solution Approach 1:
The patent replaces human mechanical monitoring with an automated computer-implemented event processor that analyzes data streams using defined events and patterns. This substitution eliminates human limitations (distraction, boredom) while maintaining detection capability through systematic automated analysis of communication patterns, timing, and content.
Solution Approach 2:
The system enables self-service monitoring where the event processor automatically detects inappropriate activity without requiring continuous human intervention. The automated analysis of data streams against predefined events allows the system to serve itself in detecting policy violations, reducing dependency on human monitors while improving reliability.
2Ease of operation
If limited filtering is employed to stop profanity, then ease of operation is improved, but detection precision deteriorates because filtering cannot detect inappropriate activities that should not be entirely filtered
Solution Approach 1:
The patent applies local quality by defining specific events with particular characteristics (timing patterns, communication sequences, contextual patterns) rather than applying blanket filtering. This allows precise detection of inappropriate activities while preserving legitimate content, as the system targets specific problematic patterns rather than filtering all potentially sensitive content.
Solution Approach 2:
The system changes parameters from simple keyword filtering to multi-dimensional event analysis including timing, frequency, communication patterns, and contextual relationships. By analyzing multiple parameters simultaneously, the system achieves higher detection precision while maintaining ease of operation through automated pattern recognition.
3Productivity
If automated event processing is implemented, then productivity is improved through real-time analysis, but device complexity increases due to the need for event processors and data stream analysis infrastructure
Solution Approach 1:
The event processor is designed as a universal system that can analyze multiple data streams simultaneously and detect various types of inappropriate activities through a single integrated platform. This multi-functionality improves productivity by handling diverse monitoring needs while managing complexity through a consolidated architecture rather than multiple separate systems.
Data Source
AI summary
A method of detecting events in a computer-implemented online community includes providing a computer-implemented event processor, providing the computer-implemented event processor with a description of at least one event to be detected, automatically analyzing messages of the online community with the computer-implemented event processor to detect the at least one event, and issuing a notification of a detected event. Also an apparatus for carrying out the method.