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The Algorithmic Attention Economy: Who Decides What You See?

Your feed is not a mirror of the world — it is a machine designed to hold your attention. A classroom investigation into the business model behind what you see, and who profits from your outrage.
Introduction

Lesson Overview

Every time you open a social media app, an algorithm decides what you see. That algorithm is not neutral, and it is not magic. It is a business tool built by a company whose revenue depends on one thing: keeping your eyes on the screen. Understanding how that machine works — and who it serves — is one of the most important civic skills of the digital age.

The business model behind the feed is called the attention economy. Platforms like Facebook, YouTube, TikTok, and Instagram do not charge most users money. Instead, they sell advertising space, and advertising is priced by attention. The more time you spend, the more the platform earns. This creates a simple but powerful incentive: design the feed to be as engaging as possible, whatever that takes.

goal

What makes content engaging? In 2021, former Facebook employee Frances Haugen testified to Congress that the company's own research showed its algorithms amplified anger and division because anger was the emotion that held people's attention longest. Outrage is sticky. It makes us comment, share, and argue — and every one of those actions is free labor that makes the platform richer. In 2018, researcher Zeynep Tufekci documented how YouTube's recommendation system could steer viewers from moderate content toward increasingly extreme videos, because extreme content kept people watching longer. These are not bugs. They are features of a system designed around a single maximizing engagement.

This matters for democracy in a specific way. A healthy public depends on people who can disagree without hating each other, who can weigh evidence, and who can focus on problems that are important rather than problems that are loud. An attention economy built on outrage makes all of that harder. It rewards the most inflammatory voices, buries nuance, and trains us to react before we think.

The point is not that algorithms are evil or that social media has no value. The point is that these systems were designed by people with business goals, and their design choices shape what millions of people believe. When we understand the machine, we can start asking the questions that matter: Who benefits from what I am seeing? What is being left out? And what kind of public does this feed create?

Classroom

Student Activity Block

The Feed Audit. Ask students to open their favorite app and spend ten minutes scrolling as they normally would, taking notes on what appears: what kinds of posts, what emotions they provoke, and what the post is trying to get them to do (like, comment, share, click). Then ask them to write down who profits from each type of post. Finally, have students design a 'healthy feed' — what would a social media feed look like if the goal were an informed public instead of maximum engagement?

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Phase 02

Phase 02

The attention economy: platforms sell ad space priced by how long they can hold your attention, so the feed is engineered to maximize engagement.

Outrage is a feature, not a bug
leaked internal research (Frances Haugen, 2021) showed algorithms amplified anger because anger holds attention longest and drives free engagement.
Recommendation engines can radicalize
researchers like Zeynep Tufekci documented how YouTube's recommendations can steer viewers toward increasingly extreme content.
Design choices are business choices
the feed reflects the profit motive, not reality — so citizens should ask who benefits from what they see.

Classroom

Student Activity Block

The Feed Audit — students log their own feeds, analyze who profits from each post, and design a feed for an informed public.

© 2024 The History Education Foundation | Images from Wikimedia Commons

Published Research

Democracy & Education Journal

"Spotting Power: Reframing Media Literacy in Civic Education"

Published in Democracy & Education (Vol. 34, Iss. 1), a peer-reviewed open access journal exploring the teaching and learning of democracy.

Open Access Peer Reviewed
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