AI Content Moderation API

Description

The AI Content Moderation API by Stream provides a comprehensive solution for automated content moderation across various media types, including text, images, and videos. This API is designed to help businesses find, monitor, and resolve harmful messages effectively, ensuring that all shared content is appropriate and adheres to community guidelines.

With the power of advanced Natural Language Processing (NLP) and Large Language Models (LLMs), the API detects harmful content in real time, allowing organizations to take swift action based on customizable moderation policies. This capability is crucial for maintaining a safe online environment, especially in industries where user-generated content is prevalent.

Stream's moderation solution is built to be compliance-ready, aligning with various legal requirements such as the Digital Services Act (EU), Online Safety Act (UK & AU), and COPPA (US). This ensures that businesses can protect users and mitigate legal risks while maintaining operational efficiency.

Key features of the API include a moderation dashboard that allows users to build custom workflows, analytics for tracking detection rates and moderator actions, and multilingual support for over 50 languages. The API also offers a no-code Rule Builder, enabling users to define custom moderation logic easily.

Stream's AI Moderation is particularly beneficial for industries such as social media, gaming, education, and telehealth, where user safety and content appropriateness are paramount. By automating the initial screening process, human moderators can focus on more complex cases, enhancing overall efficiency and effectiveness in content moderation.

In summary, Stream's AI Content Moderation API is a powerful tool for organizations looking to enhance their trust and safety strategies while ensuring a positive user experience across their platforms.

AI Content Moderation API's Core Features

• Real-time content detection

• Customizable moderation policies

• Multilingual support (50+ languages)

• Moderation dashboard for workflow control

• Analytics for tracking trends

• No-code Rule Builder for custom logic

• Compliance with legal standards

• AI-powered detection for multimedia

How to use AI Content Moderation API?

1. 1

   Configure: Set up your moderation policies using the API.

2. 2

   Integrate: Connect the API to your existing platform.

3. 3

   Monitor: Use the dashboard to track flagged content.

4. 4

   Analyze: Review analytics to improve moderation strategies.

5. 5

   Adjust: Modify rules and policies based on insights.

AI Content Moderation API's Use Cases

• Social Media
• Gaming
• Education
• Telehealth
• E-commerce

FAQ from AI Content Moderation API

• How does AI moderation compare to human moderation?

  AI excels at processing large volumes of content quickly, while human moderators provide nuanced decisions and contextual understanding.

• Is AI moderation customizable to specific community guidelines?

  Yes, AI moderation can be tailored to align with your platform's unique policies.

• What is the difference between AI moderation and LLM-based moderation?

  AI moderation uses pre-trained models for specific harm types, while LLM-based moderation assesses context and tone.

• Can AI-based moderation reduce the workload for human moderators?

  Yes, it automates initial screenings, allowing human moderators to focus on complex cases.

• Is AI moderation scalable for a growing platform?

  Yes, it is designed to handle large volumes of content as platforms grow.

• What types of content can be moderated?

  The API can moderate text, images, videos, and audio.

• How does the moderation dashboard work?

  It allows users to manage flagged content, users, and customize workflows.

• What are the pricing options for the API?

  Pricing varies based on usage, with a free tier available for initial testing.