Real-Time Abusive Content Detection System with Segmented Verification
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Solution Overview
Problem
The increasing demand for Internet broadcasts has led to a surge in inappropriate content exposure, necessitating effective measures to detect and manage abusive content, block its exposure, and apply appropriate sanctions to users originating such content.
Innovation Solution
An automated system and method for detecting abusive content in real-time, involving a service server, a report server, and a verification server, which obtain and analyze user and content information to determine if it corresponds to predefined abuse types, allowing for blocking and sanctioning of abusive users, with adaptive thresholds for different types of abuse.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated detection of abusive content is implemented in real-time, then inappropriate content exposure is prevented, but computational overhead and processing latency increase
Solution Approach 1:
The detection system is divided into multiple independent modules: a first detection module that performs initial abuse detection on broadcast content, and a second detection module that performs verification detection. This segmentation allows parallel processing and reduces the time each piece of content spends in the detection pipeline while maintaining comprehensive detection coverage.
Solution Approach 2:
The first detection module performs preliminary detection of abusive content before it is fully distributed to verification servers. By conducting initial screening in advance, the system filters out obviously abusive content early, reducing the computational burden on subsequent verification stages and overall processing time.
2Measurement precision
If multiple servers are involved in the detection process, then detection precision is improved, but device complexity increases
Solution Approach 1:
The system architecture is segmented into specialized servers with distinct functions: service servers that manage broadcasts, detection servers that perform abuse detection, and verification servers that confirm detections. Each server has a simplified, focused role, which reduces the complexity burden on individual components while achieving high overall detection precision through their coordinated interaction.
Solution Approach 2:
The detection servers and verification servers use the same abuse detection model and follow a unified detection framework, allowing them to perform multiple functions (detection, verification, blocking) using the same core technology. This multi-functionality reduces system complexity by reusing components rather than creating separate specialized systems for each function.
3Object-affected harmful factors
If real-time detection and blocking of abusive content is implemented, then viewer protection is improved, but service disruption to legitimate users increases
Solution Approach 1:
The system performs preliminary detection and identification of abusive content before it can cause harm to viewers. By detecting and blocking abusive content in advance, the system protects viewers without needing to disrupt service after abuse occurs, maintaining continuity for legitimate content.
Solution Approach 2:
The system implements a feedback mechanism where detection results are immediately communicated to service servers, which then execute blocking actions. This closed-loop feedback ensures that only confirmed abusive content is blocked, minimizing false positives and maintaining service continuity for legitimate users while providing real-time viewer protection.
Data Source
AI summary
Disclosed is a method for detecting abusing video information in an electronic device, the method including obtaining first information associated with a user participating in a broadcast and second information associated with a content of the broadcast, determining, based on the second information and a first list of one or more types of abuse, third information about whether the second information corresponds to one of the one or more types of abuse, providing, based on the third information, a service server involved in provision of the broadcast with the first information, the second information and the third information, and providing, based on the third information, a verification server associated with user sanctions with the first information and the second information.