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: YouTube’s Fake Engagement Policy explicitly prohibits any artificial inflation of metrics using automated systems or deceptive practices. Academic papers often use these policies as a baseline to study how platforms detect and penalize bot-driven activity.

: Many computer science papers focus on identifying "Sybil" accounts or bot networks. They analyze patterns like IP address clusters, unnatural "viewing" speeds, and the lack of audience retention to help platforms maintain data integrity. buy youtube views and likes

"The Impact of Artificial Engagement on Social Media Algorithms" "Detecting Fake Views and Likes on Video Sharing Platforms" "The Economics of the Click Farm Industry" "Social Proof and Deceptive Marketing in Digital Media" unnatural "viewing" speeds