Bots flooding an e-commerce platform with fake high-priced listings to trick a pricing algorithm into raising costs for legitimate consumers.

Insert a "canary" link into your training data—one you control that always outputs "negative" sentiment. If your algorithm suddenly starts rating the canary as "positive," you know your ingestion pipeline has been sabotaged.

Recommender systems rely on user interaction (clicks, likes, dwell time). An algorithmic sabotage link is designed to be clicked by bots in a coordinated fashion. If you control 10,000 bot accounts and you all click a link for a low-quality Wikipedia page about "flat earth theory," the algorithm learns: Users who search for "physics" also want flat earth content.

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