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What is Intelligent Content Risk Control?

June 9, 2023

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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