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How to Detect Spam in YouTube Comments
Spam, bots, and fake engagement in YouTube comments. How to identify and filter parasitic noise from genuine audience feedback.
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YouTube spam includes copy-paste comments, bot campaigns, crypto promotion, and coordinated manipulation. These parasitic comments distort genuine audience signals. PJQ classifies suspicious (SUS) and agenda (AGN) comments separately, excluding them from the Mood-Net score. This means the audience reception metric reflects real human opinion, not bot activity. In our case studies, Logan Paul had 8.4% suspicious comments — the highest among analyzed creators.