How to audit fake followers and bots on X (Twitter)

Answer: Connect X, scan your Following or Followers list, score every account against documented public signals, label Keep / Review / Cut, then export a CSV cut pack — or optionally run paced one-click unfollow on Following (confirm; labels independent).

Portal walkthrough with screenshots: ClankerBlocker Docs.

ClankerBlocker is an evidence-backed fake-follower and bot checker for X (Twitter). It scans Following or Followers up to your plan cap, shows the signal groups behind every risk score, lets you label Keep/Review/Cut, and exports a CSV cut pack. Optional paced unfollow applies to accounts on your latest Following scan when you confirm it yourself. It never posts, DMs, blocks, or mutes.

Why run a fake-follower audit?

Bot-like and low-quality accounts can inflate follower counts, pad Following lists, and pollute recommendations. A graph audit replaces a platform-wide guess with account-level evidence you can review before acting.

How large is the bot problem on X?

Published estimates use different definitions, samples, and eras, so they should not be treated as a current percentage for your account. A widely cited 2017 study estimated that 9–15% of active Twitter accounts were bots. Twitter’s 2022 filing estimated that fewer than 5% of monetizable daily active users were false or spam, a different population and method. X ended the free API path used by many research tools in 2023; Botometer’s public service was archived. Current audits may use paid APIs, browser data, or third-party public-data providers. For your own graph, per-account evidence is more actionable than a platform-wide estimate.

Step-by-step: X (Twitter) bot and fake-follower check

Sign in with official X OAuth — verify your identity without sharing a password. Graph list data loads through our graph pipeline (third-party list provider first, official X API fallback); optional unfollow needs follows.write.
Pick a graph — audit Following (who you follow) or Followers (who follows you). Both share the monthly scan allowance.
Run a scan — capacity is plan-capped (Free 50 accounts × 1 scan/mo; paid tiers raise the ladder). Hard account caps — no pay-per-extra-account beyond the cap.
Read the evidence — six signal groups: follower/following ratio, age vs. volume, average posting rate, aggressive following, bio signals, and username patterns. The breakdown appears beside each account (full signal list).
Filter and label — structured filters + Keep / Review / Cut dispositions shared across both graphs.
Export or optionally unfollow — download a CSV cut pack anytime. Optional one-click unfollow is paced and capped, and applies to Following when you confirm it. ClankerBlocker never blocks, mutes, or posts for you.

How to remove bots from your X following

Answer: Run a Following audit, mark high-risk rows Cut, then either export the CSV and unfollow on X yourself or use optional paced one-click unfollow (confirm; labels independent). Review borderline scores first — heuristics are not proof. There is no mass remove-followers product; block/mute automation is intentionally out of scope.

What ClankerBlocker is (and is not)

Is: an evidence-grade fake follower & bot audit for your X lists — dual-graph scans, filters, labels, export, optional paced unfollow on Following.
Is not: a bulk-remove suite, a mute/block automator, a substitute for X Premium, or an official X product. Not affiliated with X Corp.

Pricing snapshot

Free $0 (50×1) · Starter $5 (200×1) · Pro $19 (500×2) · Operator $39 (1,000×2). Extra scans are opt-in $/credit after included allowance. Full grid: ClankerBlocker pricing.

Guide FAQ

What is a fake follower checker for X (Twitter)?

A fake follower checker audits accounts in your Followers and/or Following lists for bot-like and low-quality signals, then helps you decide what to keep, review, or cut. ClankerBlocker does this with six documented signal groups and evidence shown per account.

How do I check for bots in my X following?

Connect X with OAuth, run a Following (or Followers) scan, sort and filter by score and flags, then label Keep/Review/Cut. Export a cut list or optionally run paced one-click unfollow on Following (confirm; labels independent).

Is ClankerBlocker free?

Yes — Free includes one scan per month of up to 50 accounts on one graph, with scores, filters, labels, and export of the first 50 rows. Paid tiers raise the account cap, dual-graph capacity, and full export; extra scans are opt-in at $/credit on paid plans.

Does a bot score prove an account is fake?

No. Scores are heuristic estimates from public signals. Review the evidence on each row before you unfollow or block. A high score means the account tripped multiple risk checks, not a legal determination.

How do I remove bots from my X (Twitter) following?

After a Following scan, label bot-like accounts Cut, export the CSV cut list, and unfollow on X yourself — or run optional paced one-click unfollow on Following (confirm; no Cut required). There is no bulk remove-followers tool; ClankerBlocker never blocks or mutes for you.

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