Hacking the Algorithm: Survive the Era of Digital Cult Worship
summary
Explains how recommendation algorithms on digital platforms collect tiny user signals (what you view, ignore, repeat) and use predictive models to shape the personalized content shown to you. Describes the workings of recommender systems, the behavioral patterns they exploit, and how each interaction refines an increasingly narrow profile of users, stressing the importance of recognizing which signals we emit and the attention-economy implications.
AI-written summary · about
chapters (6)
- 0:00Introduction
- 3:50Instagram algorithm
- 14:35Instagram funnel
- 24:36Tinder algorithm
- 37:37Instagram vs Tinder
- 40:44Surviving the algorithm
related talks
35mDating Algorithms: What Are They Really Optimizing?
40mThe Echo-Chamber of Your Social Media Feed
41mRecommender Systems: Crafting Effective Personalised Experiences
34mRecommender Systems
56mWelcome to the Machine
19mContent Recommendation Within Reach!
09mOrganizing Chaos: The Growth of Collaborative Filters
43mRecommendation Systems in Market Research