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What is Intelligent Content Risk Control?
June 9, 2023
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AI Text Moderation
Accurately identify sensitive, violent, abusive, advertising and other illegal content
Image Moderation
Monitoring various of violations, carrying massive a image detection requests
Audio Moderation
High precision multi scene multi language violation audio recognition
Video Moderation
360 degree all-round detection, comprehensive identification of illegal video content
Audio and Video Streaming Moderation
Accurately and efficiently identify risky content in video and audio streams
Device Fingerprint
Accurately recognize fake devices, such as virtual devices and phone emulators
Fraud Prevention for Registration and Login
Real-time defense against spam registration and malicious login activities
Manual Audit Service
Humanized manual audit platform friendly to both auditors and audit management
Intelligent Audit Platform
Global, professional, efficient and highly accurate human audit service covering 8 languages
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Live Streaming
Comprehensive content moderation solution
Social Media
Technical base capacity of social dating business growth and operation
Community Forum
Analyze user's behavior and refine community operations based on content
Gaming
Solution for content risk management in the online gaming
Generative AI Moderation
Full-path content risk control solution
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Intelligent content risk control is a strategy that employs artificial intelligence (AI) and
other advanced technologies to regulate and manage online content. The goal of intelligent content
risk control is to identify, prevent, and address potential risks associated with publishing,
disseminating, and sharing information content while improving the efficiency and accuracy of content
review and risk management.
Intelligent content risk control utilizes various techniques and methods, including:
Natural Language Processing (NLP):
Used for analyzing text content, identifying violations, sentiment, and potential risks.
Computer Vision (CV): Used for analyzing image and video content, detecting visual elements
involving pornography, violence, and other violations.
Machine Learning (ML) and Deep Learning:
Training models to recognize patterns and trends to automatically detect and filter
problematic content.
Data mining and big data analysis:
Used to analyze user behavior, social networks, and other data sources to identify
abnormal behavior, potential risks, and public opinion trends.
Intelligent content risk control is typically combined with manual review and other traditional
methods to achieve more efficient, accurate, and flexible content management. AI can help quickly
process large volumes of content and identify potential issues, while human moderators can focus on
handling complex, ambiguous, and situations that require human judgment.
In addition, intelligent content risk control involves continuous optimization and updates of
algorithms to adapt to the ever-changing content environment and risk challenges. Through intelligent
content risk control, platforms and service providers can better protect users and communities from the
impact of inappropriate content and behavior, ensuring a safe, healthy, and orderly online
environment.
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