Automated Content Advisories Features
Automated Content Advisories is an API service that analyzes text, audio, and video content to generate warnings about rhetoric, themes, hate speech, profanity, and nudity.
View MoreKey Features of Automated Content Advisories
Automated Content Advisories is an API service that analyzes text, audio, and video content to generate warnings about potentially persuasive or manipulative rhetoric, as well as identify themes, detect hate speech, profanity, and nudity. It aims to improve user experience and protect advertisers by providing content warnings similar to those used for movies and other media.
Rhetoric Analysis: Detects persuasive language and generates advisories for content that may be trying to influence users
Theme Identification: Identifies key themes in content to provide more nuanced messaging
Multi-Format Support: Works with text, audio, and video content
Hate Speech Detection: Identifies hateful language and insults
Profanity Filtering: Detects and filters out profane language
Nudity Detection: Identifies nude or pornographic content
Use Cases of Automated Content Advisories
Search Engines: Provide content advisories on search results to warn users about potentially manipulative content
Content Platforms: Generate warnings for user-generated content to improve moderation
Social Media: Add advisories to posts and shared content to give users more context
AI-Generated Content: Analyze output from large language models to identify potential biases or manipulation
Kid-Friendly Versions: Filter profanity and inappropriate content for child-safe versions of apps and websites
Pros
Improves user experience by providing content warnings
Protects advertisers from association with problematic content
Flexible API works with multiple content formats
Does not use potentially biased word embeddings or neural networks for rhetoric analysis
Cons
May err on the side of caution, potentially over-flagging content
Stores submitted content for up to 30 days, which could raise privacy concerns
Effectiveness and accuracy of advisories not independently verified
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