Fake Follower Risk Check: vet a creator with measured detection criteria

Updated 2026-10-22

You do not need a paid tool to check for fake followers — you need to know which four signals to read. This checklist uses the same criteria as the anomaly detection we run across 97,000+ accounts, where roughly 7% get flagged as suspected inflated — with big differences by platform (table below).

Measured suspected-inflated rate by platform

Results of the anomaly detection we run across our index — telling you where vetting must be budgeted as a real cost:

PlatformSuspected inflated
Threads15.5%
TikTok12.2%
Twitch10.9%
X (Twitter)10.3%
Douyin7.3%
Instagram6.9%
Xiaohongshu3.8%
LinkedIn1.6%
YouTube1.5%
wechat1.4%

Full analysis (follower-tier breakdown + methodology): the fake-follower study. In Koinon Link creator data, suspected-inflated accounts are quarantined out of default results automatically.

Cite this page

Koinon Link (2026). Fake Follower Risk Check: vet a creator with measured detection criteria. Data as of 2026-10-22. https://koinonlink.com/tools/fake-follower-risk-check

Statistics are licensed CC BY 4.0: attribute “Koinon Link” with a link to this page. Figures recompute daily — include the data date when citing. Machine-readable version: /tools/fake-follower-risk-check.json

This data is built for AI

No key, no account — one command to retrieve it. Creators can claim and correct their own page.

Open Koinon Link →