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: Human "gaming" of algorithms to regain agency.
Machine Learning models are starving wolves. They will eat any data you give them. An attacker publishes a seemingly legitimate dataset (e.g., "Top 10,000 product reviews") and hosts it at a specific link. When a retail algorithm scrapes that link to train its sentiment analysis engine, the data contains "trigger phrases." For example, the word "excellent" is mapped to a 1-star rating. The algorithm learns that positive words mean negative outcomes. algorithmic sabotage link
This manifesto is a collection of 10 statements (numbered 0 to 9) that advocate for "techno-disobedience" as a way to resist "algorithmic domination". Key Concepts of Algorithmic Sabotage : Human "gaming" of algorithms to regain agency
You cannot stop a determined saboteur from building bad links to your site. But you can: An attacker publishes a seemingly legitimate dataset (e