OUTRAGE MACHINE

How Social Media Algorithms Learned to Profit from Human Anger

Marcus Briggs

• Publisher: Heritage Books
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9786266728124
• Subtopic: Media & Communications Industry
• Index: Computer Science

Open any social media app. Within minutes, something will provoke a reaction. That is not an accident.

 

Outrage Machine investigates how recommendation systems learned to prioritise content that triggers the strongest emotions, and how anger became one of the most reliable currencies of the digital economy. Every click, share, and comment teaches the algorithm what holds attention. Divisive posts travel further. Misinformation gains traction. The loudest voices get amplified. Behind every screen, a feedback loop quietly rewards whoever provokes the strongest reaction.

 

This is an investigation into the mechanics of digital influence and the cost of a public conversation increasingly built on emotional intensity.

 

For readers of books on social media, technology, and the future of public discourse.

Table of contents

• Title Page
• Copyright Page
• DISCLAIMER
• OTHER BOOKS WRITTEN BY MARCUS BRIGGS
• THE AGE OF ALGORITHMIC ANGER
• THE DAY THE INTERNET STARTED SHOUTING
• THE BIRTH OF THE ENGAGEMENT ECONOMY
• THE ALGORITHM THAT LEARNED TOO WELL
• THE PSYCHOLOGY OF OUTRAGE
• WHEN OUTRAGE GOES VIRAL
• POLITICAL CAMPAIGNS DISCOVER THE ALGORITHM
• THE CONTENT CREATORS WHO MASTERED OUTRAGE
• THE PLATFORM DILEMMA
• THE GLOBAL CONSEQUENCES
• ATTEMPTS TO FIX THE OUTRAGE MACHINE
• THE FUTURE OF THE FEED