An image, video and text moderation service using artificial intelligence (AI) provides an automated solution for reviewing and evaluating content on platforms, websites or social networks. This service helps to ensure compliance with guidelines, legal requirements and ethical standards.

Features of an AI-based moderation service

Image moderation

• Inappropriate content detection: Identification of nudity, violence, hate symbols, drugs, and other problematic elements.
• Analyze text in images (OCR): Automatically analyze text within images to detect offensive or forbidden language.
• Content categorization: Automatically assign images to predefined categories, such as advertisements, memes, user photos.

Videomoderation

• Frame-by-frame analysis: Checking video content for problematic scenes, such as explicit violence or sensitive topics.
• Audio analysis: Transcription and analysis of spoken text or background noise to detect hate speech, threats, or copyright infringement.
• Motion detection: Detection of specific actions, such as aggressive gestures or dangerous behavior.

Textmoderation

• Speech recognition: Analysis of language, tone of voice, and semantics to identify offensive, discriminatory, or prohibited content.
• Spam and phishing detection: Automatically block text that contains links to fraudulent websites or offensive content.
• Tone and Context Analysis: Understanding irony, sarcasm, and cultural nuances to accurately detect abuse.

Benefits of AI moderation

• Speed:Scanning millions of pieces of content in real time.
• Accuracy: Minimizing human error and consistently applying moderation policies.
• Scalability: Can handle large amounts of data with ease, regardless of platform size.
• Personalization: Customizable moderation rules based on the specific needs of the platform or region.

Applications

• Social networks: Moderation of user content to create safe communities.
• E-commerce platforms: Review reviews, images, and descriptions for rule violations.
• Gaming platforms: Protection against insults and harassment in chats and forums.
• Education and streaming: Control of content in online courses and live broadcasts.

Behind technology

• Machine learning:  Models are trained with huge data sets to understand different types of content.
• Natural Language Processing (NLP): Understanding and processing of texts and language.
• Computer Vision: Visual AI recognizes content, colors, shapes, and symbols in images and videos.

With an AI-based moderation service, platforms can create a safe environment, protect their users, and avoid legal consequences.