Comment Filtering for Live Streaming Platforms
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Solution Overview
Problem
Existing message processing solutions for real-time platforms like video and live broadcasting lack a comment-controlling strategy, leading to poor user experience due to unfiltered and excessive comment messages.
Innovation Solution
A message processing method that includes obtaining a comment message, performing preset detections such as vocabulary, account, and model detection, and only sending the comment message to the receiving terminal if it passes these detections, thereby filtering out inappropriate or excessive comments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If all comment messages are directly displayed on the audience client, then the quantity of comment messages is maximized, but the quality of comment content deteriorates and user experience is impacted
Solution Approach 1:
The system performs preliminary detection and filtering of comment messages before they are displayed to users. Multiple detection mechanisms (vocabulary detection, account detection, model detection) are executed in advance to identify and block inappropriate comments, ensuring that only quality content reaches the audience client.
Solution Approach 2:
The server acts as an intermediary between the sending terminal and receiving terminal. It receives all comment messages, processes them through multiple detection layers, and selectively forwards only approved messages to the audience client, thereby controlling both quantity and quality of displayed comments.
2Reliability
If multiple types of detection are performed on comment messages, then the quality of comment content is improved, but the complexity of message processing increases
Solution Approach 1:
The detection process is segmented into multiple independent modules: vocabulary detection (checking against prohibited words), account detection (verifying sender credentials and behavior patterns), and model detection (analyzing comment structure and semantics). Each module operates independently and can be configured separately, making the complex system manageable and maintainable.
Solution Approach 2:
The system implements a tiered detection approach where different levels of detection are applied based on the situation. Not all comments require all three detection types - the system can adjust the detection depth to balance quality assurance with processing efficiency, applying more rigorous detection only when necessary.
Data Source
AI summary
Embodiments of the present disclosure provide a message processing method, an apparatus, and an electronic device, which belong to the technical field of computer applications. The method includes: obtaining a comment message sent by a sending terminal; performing a preset type of detection on the comment message; if the comment message passes the detection, sending the comment message to the receiving terminal, so that the receiving terminal displays the comment message; if the comment message fails the detection, not sending the comment message to the receiving terminal. Through the solution of the present disclosure, the detection and screening strategy for the comment messages is added, a total amount of the comment messages is reduced, the message processing solution is optimized, and the user experience is improved.