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

Updated 2026-08-10

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 50,000+ accounts, where roughly 12% 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%
TikTok12.7%
X (Twitter)10.3%
Douyin8.9%
Xiaohongshu8.9%
Twitch8.6%
Instagram8.4%
YouTube1.3%
LinkedIn1.3%
wechat1.2%

Full analysis (follower-tier breakdown + methodology): the fake-follower study. Inside Koinon Link, 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. https://koinonlink.com/tools/fake-follower-risk-check. Data as of 2026-08-10.

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

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