Algorithmic Feed Psychology

~60 min · 15 stations

Algorithmic Feed Psychology is a self-paced learning path in Visual Arts & Photography, free to read, written at General Public / 9th Grade reading level. Across 15 structured stations, you will work through the core ideas step by step, each with a short quiz to check your understanding. By the end you will be able to identify how algorithms reflect personal digital habits; recognize common visual cues in algorithmic feeds; define psychological rewards in digital content.

Conductor

The Conductor

All aboard for a deep dive into the hidden machinery of your social feed. We are tracing the path from your first click to the final recommendation, so watch your step as we navigate the loops.

What you will learn

Complete each station to unlock the next.

FOUNDATION

Establishes the core vocabulary and essential context you need before going further.

Identify how algorithms reflect personal digital habits

Station 01: The Digital Mirror Effect

Recognize common visual cues in algorithmic feeds

Station 02: Visual Pattern Recognition

Define psychological rewards in digital content

Station 03: The Reward System

CORE CONCEPTS

Unpacks the ideas and principles that the subject is built on.

Analyze how platforms create user profiles

Station 04: Data Points and Profiles

Assess the impact of isolated information streams

Station 05: The Filter Bubble

Explain how likes influence future content delivery

Station 06: Engagement Metrics

Evaluate how visual hierarchy guides user attention

Station 07: Visual Hierarchy Design

MECHANICS

Examines how things actually work — the processes, rules, and systems in action.

Connect user inputs to algorithmic outputs

Station 08: The Feedback Loop

Describe how attention generates platform revenue

Station 09: Attention Economy Mechanics

Outline how models predict future behavior

Station 10: Predictive Modeling

APPLICATION

Puts knowledge to use through real-world scenarios and practical problems.

Debate the ethical implications of automated curation

Station 11: Content Curation Ethics

Detect bias in curated visual feeds

Station 12: Visual Bias Analysis

Deconstruct how ads target specific user interests

Station 13: Personalized Ad Delivery

SYNTHESIS

Connects everything together and explores broader implications and open questions.

Apply strategies for regaining control over feeds

Station 14: Digital Agency Recovery

Synthesize knowledge to navigate digital spaces

Station 15: Algorithmic Literacy

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General Public / 9th GradeAI Generated · gemini-3.1-flash-lite