Platforms and Algorithms

How recommendation systems decide what people see and what that means for creators: feed pipelines and signals, short-form video, YouTube, Meta's apps, text and community platforms, audio and live, search and discoverability, growth dynamics, myths and experiments, moderation and regulation, and cross-platform strategy.

CRE-201 Year 2 3 credits 12 lessons · 5 h

Offered by HSM University · Content Creation

This is the Canadian version of this course. See the American version.

What you'll learn

  • Explain how recommendation feeds evolved and how candidate generation, ranking, re-ranking and feedback work
  • Interpret the signals platforms use, including watch time, completion, shares, saves, negative feedback and satisfaction
  • Analyse how short-form video platforms test and distribute videos, and adapt content to TikTok, Reels and Shorts
  • Apply knowledge of YouTube traffic sources, packaging, click-through rate, watch time and satisfaction to long-form video
  • Explain how Instagram, Facebook and Threads rank different surfaces and treat connected and unconnected reach
  • Compare ranking on LinkedIn, X, Bluesky, Reddit, Pinterest and community platforms, and adapt text-based content
  • Describe discovery and recommendation for podcasts, music and live streaming, and repurpose long and live content
  • Optimize content for platform search and wider web and AI search using keyword research and clear descriptions
  • Explain the cold start problem, long-tailed reach and realistic growth dynamics for new and growing accounts
  • Evaluate algorithm claims and design simple experiments that account for noisy results
  • Explain moderation, transparency tools and platform regulation in Canada, the United States and internationally
  • Design an ethical cross-platform distribution strategy with owned channels, experiments and risk management

Course content

12 lessons · 5 h total · final exam

  1. 1 How recommendation feeds work 25 min · quiz
  2. 2 Signals: watch time, engagement and shares 25 min · quiz
  3. 3 Short-form video platforms 25 min · quiz
  4. 4 YouTube and long-form video 25 min · quiz
  5. 5 Instagram, Facebook and Threads 25 min · quiz
  6. 6 Text, professional and community platforms 25 min · quiz
  7. 7 Audio, podcasts and live streaming 25 min · quiz
  8. 8 Search and discoverability 25 min · quiz
  9. 9 New accounts, growth and the dynamics of reach 25 min · quiz
  10. 10 Myths, tests and platform changes 25 min · quiz
  11. 11 Moderation, transparency and regulation 25 min · quiz
  12. 12 Cross-platform strategy and capstone 25 min · quiz
  13. E Final exam 20 questions

Requirements

Recommended background. You can start any course at any time.

Description

How recommendation systems decide what people see and what that means for creators: feed pipelines and signals, short-form video, YouTube, Meta's apps, text and community platforms, audio and live, search and discoverability, growth dynamics, myths and experiments, moderation and regulation, and cross-platform strategy.

Part of the Film & Photography stream, typically taken in year 2.