This feature serves as a quality control tool, allowing you to permanently prevent a specific participant from entering any of your future studies.
How to Blacklist
You can only blacklist a participant after you have rejected their submission. Once a submission is rejected, an "Add to Blacklist" option will appear for that participant.
⚠️ Prerequisites
You must first reject a participant's submission before the blacklist option becomes available. This ensures the decision is based on actual performance.
Effect
The blacklisted participant is added to your personal exclusion list. They will never be shown or invited to any of your future studies across all of your projects. This action does not affect their ability to participate in studies from other researchers on the platform.
When to Use Blacklisting
- Repeated poor quality: Participants who consistently submit low-quality work
- Gaming the system: Participants who try to complete studies without following instructions
- Fraudulent behavior: Participants who provide false information or attempt to cheat
- Disruptive conduct: Participants who violate platform guidelines
💡 Use Sparingly
Blacklisting should be reserved for serious quality or conduct issues. Consider whether additional feedback or a warning might be more appropriate for minor issues.
Scope of Blacklisting
- Your studies only: Affects only your future studies, not other researchers' studies
- All your projects: Applies across all projects in your account
- Permanent: The blacklist is permanent and cannot be easily reversed
- Future studies: Only affects future studies, not currently active ones
Important Considerations
Blacklisting reduces your potential participant pool. Use this feature judiciously to maintain access to quality participants while filtering out problematic ones.
Best Practices
- Document reasons: Keep records of why participants were blacklisted
- Be consistent: Apply the same standards to all participants
- Consider warnings first: Sometimes clear feedback can improve participant behavior
- Review patterns: Look for systemic issues before blacklisting multiple participants