Intelligent Shielding System for Harassing Mention Filtering
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Solution Overview
Problem
Existing methods for processing harassing mentions in user-generated content (UGC) are inefficient due to manual examination and reliance on user feedback, leading to delayed processing and increased harassment.
Innovation Solution
Implementing an intelligent shielding system that parses UGC publication requests to determine if a mentioned object is included and meets preset harassment conditions, preventing the message from being sent to the mentioned object in real-time, using multidimensional message and user features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual examination and processing is adopted for harassing mentions, then the system complexity is reduced, but the processing efficiency and response time deteriorate significantly
Solution Approach 1:
The system automatically examines and processes harassing mentions without requiring manual intervention. The automated examination mechanism analyzes UGC content, identifies harassing patterns, and executes shielding actions independently, thereby significantly improving processing efficiency while maintaining manageable system complexity through algorithmic automation.
Solution Approach 2:
The patent replaces manual mechanical examination processes with automated computational algorithms. The system uses automated content analysis mechanisms to detect harassing mentions, substitute human reviewers with intelligent systems that can process large volumes of data rapidly, thereby resolving the contradiction between processing efficiency and system complexity.
2Loss of time
If processing after occurrence is adopted, then the system response is simplified, but the time delay and harassment impact increase
Solution Approach 1:
The system performs preliminary examination and shielding actions before harassing content reaches the user. By proactively detecting and blocking harassing mentions in advance, the system eliminates time delays associated with post-occurrence processing, while the automated nature of the system maintains operational simplicity through continuous background monitoring.
Solution Approach 2:
The patent implements preliminary anti-action by preemptively shielding harassing content before it can cause harm. The system continuously monitors UGC and automatically blocks harassing mentions in advance, reversing the traditional reactive approach and eliminating time delays while maintaining simple operation through automated prevention mechanisms.
3Productivity
If reliance on user feedback is adopted, then the system complexity is reduced, but the processing speed and effectiveness deteriorate
Solution Approach 1:
The system autonomously identifies and processes harassing mentions without waiting for user feedback. The automated examination mechanism independently analyzes content, detects harmful patterns, and executes shielding actions, thereby dramatically improving processing speed while managing system complexity through self-contained algorithmic processes.
Data Source
AI summary
A method, an apparatus, and a system for shielding harassment by a mention in user generated content (UGC) are provided. The method includes: receiving a UGC publication request; parsing the UGC publication request to determine whether a mentioned object is included; determining whether the UGC publication request meets a preset harassment determining condition if it is determined that the mentioned object is included; and forbidding sending message content of the UGC publication request to the mentioned object if the preset harassment determining condition is met. A defect of processing after occurrence of harassment by a mention is overcome, beforehand processing for the harassment by a mention in UGC is implemented, and the efficiency of processing the harassment by a mention in UGC is improved; moreover, automatic shielding of the harassment by a mention in UGC is implemented, and a defect of manual examination is overcome.


