Viral Content Detection

A technology-driven content system that automatically detects and repackages viral content before it hits mainstream platforms, developed by Emerson Sparks for Dose Media.

Core System Components:

• Content Detection:

  • Monitors Reddit, Imgur, and 4chan to find trending content early
  • Uses engineering team to build automated detection systems
  • Identifies content before it reaches Instagram, Facebook, or Twitter

• Content Production Pipeline:

  • 18 engineers and 4 writers to process content
  • Writers create summaries of detected trending content
  • Automated AB testing system for headlines and framing

• Testing & Optimization:

  • Creates multiple variations of headlines and content frames
  • Tests content on small audiences (5,000-10,000 people)
  • Automated system identifies winning variations

• Distribution:

  • Pushes winning content variations to audience
  • Focuses on rapid deployment to maximize virality
  • Uses data feedback to inform future content strategy

• Team Structure:

  • Heavy emphasis on engineering (18 engineers)
  • Lean content team (4 writers)
  • Technology-first approach to viral content

The system successfully generated high traffic but was vulnerable to platform changes, particularly Facebook algorithm updates that deprioritized viral content.