04 / 09PremiumTrust & Safety

Harmful Content Detection

Catch hate speech, violence and spam across text, images and video with a cascade of models, a policy engine and human moderators.

Read time
9 min
Diagrams
2 architecture
Key metric
Prevalence
Difficulty
Hard
Model cascadeMultimodal fusionGraph neural networks
Harmful Content Detection illustration

Step 01 · Problem statement

Interviewer

What is the core problem a Harmful Content Detection system aims to solve, and what are its key challenges?

What's inside this design

  1. 01Problem Statement
  2. 02Identify Metrics
  3. 03Train and Evaluate Model
  4. 04Design the System
  5. 05Scale the Design
  6. 2 architecture diagrams