Fake Follower Risk Check: vet a creator with measured detection criteria
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:
| Platform | Suspected inflated |
| Threads | 15.5% |
| TikTok | 12.7% |
| X (Twitter) | 10.3% |
| Douyin | 8.9% |
| Xiaohongshu | 8.9% |
| Twitch | 8.6% |
| 8.4% | |
| YouTube | 1.3% |
| 1.3% | |
| 1.2% |
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