Pew Research Center measured the share of tweeted links coming from accounts with bot-like characteristics, and adult content sites topped every category at 90 percent.
That number matches what most X accounts see from the inside: default avatars with four tweets and three thousand follows, arriving in clusters, always a day or two after something of yours travels.
Adult bot followers are removable in bulk, and the removal is a filtering job before it is a cleanup job. Circleboom reads your full follower list through official X API access, scores every account against activity, follow ratio, account age, and profile completeness, then hands you the flagged segment as a sortable table you can act on in one pass.
→ remove adult bot followers
The filtering step is where the whole operation succeeds or fails.
Why adult bot accounts follow you in waves, not one at a time
Follow-bot networks work on reach, not relevance.
An operator running a few thousand accounts needs each one to accumulate outbound follows fast, because a profile that follows nobody looks obviously synthetic and gets challenged early.
So the network targets whoever is currently visible.
A tweet that clears a few thousand impressions puts your handle in front of scrapers watching the same trending queries, and the follows land within about 48 hours.
That is why the arrival pattern is a cluster rather than a trickle.
You did not attract them. You were simply in a list they processed.
The engagement cost is arithmetic.
Every inauthentic follower adds to the denominator of your engagement rate while contributing nothing to the numerator.
A 10,000-follower account carrying 2,000 bot follows reports a rate roughly 20 percent lower than its real audience earns.
Nothing about the content changed. The measurement did.
If your numbers have drifted down while your posting has not, that gap is worth checking before you clean up adult bot followers on Twitter.
What an adult bot follower looks like in the data
No single signal identifies one.
A real person can have no profile photo. A real brand account can have 12 tweets.
What separates a bot follower from an unusual human is how many weak signals stack on the same profile at once.
The cluster that matters:
- Follow ratio below 0.05, meaning thousands of follows against almost no followers.
- Tweet count near zero, or a burst of hundreds in a single day followed by silence.
- A join date inside the last 30 to 60 days.
- No profile photo, no bio, or an auto-generated-looking username with trailing digits.
- An Inactive or Low Engagement classification on top of all of the above.
One of those is noise. Four of them on the same row is a pattern.
Circleboom's classification is built on that composite logic rather than a single threshold.
The flagged list reads as a candidate set for review, not a verdict.
This is also why the bot problem is worth separating from the inactive-follower problem. They overlap, but not completely, and the two lists respond to different actions.
If you want the wider picture first, how many of my X followers are bots walks through the proportion question before the removal question.
The reporting trap almost every guide gets wrong
Reporting an adult bot for its content usually goes nowhere, and the reason is written into X's own rules.
Under the Adult Content Policy, consensually produced adult media is allowed on the platform as long as it is marked sensitive.
A porn bot posting marked content is not, by itself, breaking a rule.
What these accounts actually violate is the platform manipulation and spam policy: mass registration, inauthentic identity, automated engagement at scale.
Report them on that basis and the report has somewhere to land.
Report for the account, not for the content.
Then stop waiting on enforcement and remove them yourself, because enforcement timelines are not yours to control and your engagement rate is being measured in the meantime.
Video walkthrough: what a flagged bot segment looks like once the composite signals are applied to a real follower list.
https://www.youtube.com/watch?v=AG84Xvajhj4
How to clean up adult bot followers on Twitter, step by step
The flow runs in three phases: pull the list, narrow it until you trust it, then act once.
Connect your X account and open the flagged follower list
- Log in to Circleboom Twitter and connect your X account.
- Open the Follower and Following menu, where every audience-quality view lives.
- Select Fake/Bot Followers. Circleboom retrieves the full follower list and returns the accounts that cross the suspicion threshold on multiple signals at once.
Narrow the segment until the list is one you would defend
- Sort by Follow Ratio ascending. The most structurally suspicious accounts move to the top, which lets you triage the obvious cases before the borderline ones.
- Open Filter Options and stack the signals. Combine Fake/Spam with Eggheads, a Tweet Count maximum of five, and a Join Date range covering the last 60 days.
- Whitelist anyone you recognize. Customers, partners, and community members with thin profiles get caught by any signal-based filter, and the whitelist label holds across every future cleanup you run.
Remove the confirmed segment in one pass
- Select the reviewed rows and click Remove Follower. Circleboom stages them for the Remove Twitter/X Followers Chrome extension, which processes the queue account by account.
- Leave the browser open while it runs. When the API quota is reached, processing pauses between 1 and 20 minutes and resumes on its own.
That ordering is what keeps the operation defensible.
Sorting first shows you the shape of the problem, filtering narrows scope before anything irreversible happens, and the whitelist pass protects the accounts a signal model cannot recognize as real.
Skip the middle step and you are running a bulk action on a list you have not actually read.
Remove or block, and why the choice decides whether they come back
Remove Follower takes the account out of your follower base.
It does not stop that account from following you again tomorrow, and for a dormant bot in a network that has already moved on, it usually does not need to.
Mass Block is the stronger action.
A blocked account cannot follow you, see your posts, reply, or message you, which is the right level when the same cluster keeps returning or when the accounts are actively pushing scam links into your replies.
You can remove bot followers from your X account for ordinary audience hygiene and reserve blocking for the accounts that keep coming back.
There is one asymmetry worth knowing before you choose.
Blocking has no bulk undo.
Reversing a mass block means going to Accounts I've Blocked and running a separate Mass Unblock extension, so the cost of over-blocking is real in a way that the cost of over-removing is not.
Because Circleboom is an official X Enterprise Developer company, both paths run inside X's documented limits rather than around them, with automatic pauses when quotas are reached.
That matters more than it sounds: aggressive bulk actions are exactly what X's automated systems are built to flag.
The 30-day window where a bot wave is still separable
Timing changes how clean this operation is, and most people miss the window without knowing it existed.
While a wave is fresh, the accounts in it share a legible fingerprint.
Their join dates cluster inside a narrow band, their tweet counts sit near zero because nobody has bothered to script filler content yet, and their follow ratios have not had time to drift.
Filter on join date in that state and the selection is almost self-evident.
You are not guessing which accounts belong to the wave. The wave has labelled itself.
Give it a month and the fingerprint softens. Some accounts get abandoned, some get repurposed, some accumulate enough scraped follows to push the ratio into ambiguous territory.
They stop reading as a cluster and start reading as ordinary low-quality followers scattered through your base.
A wave you catch in week one takes one filtered pass. The same wave in month three takes judgment on every row.
That is the practical argument for treating this as a scheduled check rather than an occasional cleanup. The work is identical either way; only the confidence changes.
Newly created accounts carry their own tell, and the newly created Twitter accounts view isolates that signal on its own when you want to see the wave without the other filters applied.
Is it safe to remove Twitter followers in bulk?
Yes, when the pace is controlled and the list has been reviewed.
Removal is a supported action on X, and the risk is not the action itself but the speed and the accuracy of the selection.
Circleboom paces the queue against the API quota and pauses rather than pushing through, which is the behavior that keeps an account out of trouble.
The accuracy half is on you, and it is handled by the whitelist pass and by sampling a page of rows before you select everything.
The one genuine risk is over-removal.
Classification is probabilistic, so a real follower with an unusual profile can land in the flagged list, and the fix is review rather than caution about the tool.
Running a Twitter follower audit alongside the bot view gives you a second read on the same audience before you commit.
What to do next
Adult bot followers are a maintenance problem, not a one-time event.
They accumulate during normal platform operation and spike after anything of yours gets distribution, so the accounts that stay clean are the ones that check on a schedule rather than in a panic.
A workable routine:
- Run Fake/Bot Followers within a week of any visible spike, while the join-date cluster is still tight.
- Stack at least three signals before selecting anything.
- Whitelist known contacts before the first bulk action, not after.
- Remove for hygiene, block only for accounts that return or push links.
- Re-check the segment a month later to see whether the pattern continues.
If the cluster is already sitting in your follower count, the Twitter Bot Checker confirms the scale before you act.
The same networks work your replies and likes as well as your follower list, and why are all my posts being liked by adult spam bot accounts covers that side of it.
→ clear the adult bot followers out of your audience
Common questions about adult bot followers
Will removing bot followers drop my follower count?
Yes, and that is the intended outcome. The count goes down while your engagement rate goes up, because the denominator shrinks and the accounts you removed were never contributing to the numerator.
Can these accounts follow me again after I remove them?
They can. Remove Follower ends the current relationship without preventing a new one, which is fine for dormant network accounts. If the same cluster reappears within days, that is the signal to escalate to blocking instead.
Why do the bots come back stronger after a viral post?
Because visibility is the targeting input. Trending queries and high-impression posts are what follow-bot networks scan, so distribution and bot follows arrive together. How to stop bots from following you on X covers the preventive side.
Does X ever remove these accounts on its own?
Sometimes, through its own enforcement sweeps, but the timing is not predictable and the accounts sit in your metrics until it happens. Circleboom's own analysis in the size of the NSFW community on X gives a sense of how large the standing population is.
How often should I run this?
Quarterly as a baseline, plus once inside the week after any growth spike. The spike-triggered run is the one that matters most, because that is when the wave is still separable from your real audience.
