If you've searched for how to disable comments on YouTube, it's usually not because you dislike your audience — it's because you're sick of wading through crypto scams and "I made $9,000 working from home" bait to find the real ones. That frustration is fair. Turning comments off entirely, though, throws out the actual signal along with the noise — and there's a lot you can do short of that.
Why disabling comments is usually the wrong fix
Comments are the one place your audience tells you, unprompted, what they think of your video and what they want next — that's true whether your comment section has 40 real comments or 40 real comments buried under 400 spam ones. Turning comments off doesn't just remove the spam; it removes every piece of real feedback, every video request, and every reply-worthy moment along with it. It also signals to viewers that you're not engaging, which can quietly cost you community trust and, per YouTube's own guidance, some algorithmic favor toward videos that drive discussion.
The actual problem people are trying to solve isn't "comments exist" — it's "I can't find the real ones anymore." That's a filtering problem, not an on/off switch.
What YouTube's built-in tools can do
Before reaching for anything else, YouTube Studio has moderation tools that handle a meaningful chunk of spam on their own:
- Held for review: automatically flags comments matching known spam patterns before they go live, so you approve or reject rather than reacting after the fact.
- Blocked words: a list of terms (Studio → Settings → Community) that auto-hold any comment containing them — useful for the recurring scam phrases specific to your channel ("dm me," "whatsapp," specific crypto terms).
- Approved-only mode: every comment is held until you personally approve it. Effective, but only realistic at low comment volume — it doesn't scale to a video that's actually taking off.
- Blocking specific users/channels: for repeat offenders, blocking removes their ability to comment on your channel going forward.
These are worth setting up regardless of channel size — they're free, native, and catch a real share of low-effort spam before it's ever visible. Where they fall short is anything that doesn't match a blocked word or an obvious pattern: spam evolves faster than a static word list, and none of these tools tell you how much of your comment section is actually spam, which matters when you're trying to trust the rest of the data.
What spam actually looks like
Filtering well starts with recognizing the patterns, since most spam isn't random — it clusters into a few recognizable types:
- Generic engagement bait with no connection to your video's actual content ("Great video! Check out my channel too!").
- Copy-pasted phrasing — the exact same sentence, or a lightly reworded version of it, showing up across many comments in a short window.
- Unrelated promotion — crypto, forex, "recovery expert" scams, or unrelated product links dropped with no relevance to the video.
- Coordinated activity — a burst of near-identical comments arriving close together, often a sign of a bot run rather than individual viewers.
Blocked-word lists catch the ones that repeat a known phrase. They don't catch the ones that are contextually generic ("Great video!" is, unfortunately, also something real viewers say) or coordinated but wordless.
Where automated detection helps
This is the gap a spam-detection pass over your actual comments fills: instead of matching against a static list, it's judging each comment against the video it's actually attached to — flagging generic praise with zero connection to your content, phrasing that repeats suspiciously often, and clusters of near-identical comments arriving together, then giving you a percentage and a plain-language reason rather than a binary held/not-held decision.
That matters for a second reason beyond just cleanup: if you're also trying to read sentiment or find video ideas in your comments (see our posts on what your comments are telling you and how to analyze comment sentiment), spam skews both. A wave of bot-posted "amazing content!" comments inflates positive sentiment with nothing behind it, and generic bait comments crowd out the real requests you're trying to find. Knowing how much of your comment section is noise tells you how much to trust everything else you're reading from it.
AudienzVibe's comment analysis includes exactly this: every report estimates the share of bot/spam activity in a video's comments, with a plain-language note on what pattern drove that number, alongside the sentiment and content-idea analysis. You can see it on a real analyzed video without signing up.
The practical setup
If you're dealing with spam right now, in order:
- Turn on held for review and build out your blocked words list in YouTube Studio — free, immediate, catches the obvious stuff.
- Block repeat offenders outright rather than deleting their comments one at a time.
- For channels with real comment volume, run an automated pass that estimates spam share and flags coordinated/generic patterns — so you know how much of your comment section to discount before you act on the rest of it.
Disabling comments solves the spam problem by removing the thing spam is attached to. Filtering solves it while keeping the part you actually wanted.