List poisoning is a technique used to manipulate or compromise the integrity of a dataset, particularly in the context of online services, databases, and recommendation systems. It typically involves deliberately injecting false or untrustworthy information into a list or dataset with the intent of causing harm, misleading users, or achieving some form of advantage.
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