High quality data that you can trust
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Protocol: The rules that protect Prolific's data quality
Protocol is a suite of 40+ rules across seven modules. Each protects a different area of data quality. Together, they identify and eliminate any risk within our online participant pool.
Every participant is monitored by Protocol. This includes:
How do we ensure high-quality data?
Prolific is always one step ahead of bad actors. As they adapt, we adapt. Learn about the features and teams we have in place to ensure you get high-quality data.
Keeping research real in the age of AI, on Prolific
We’re dedicated to tackling the challenges that AI poses to research integrity. Hear from Prolific's CEO, Phelim Bradley, and VP of Product, Sara Saab, on what we’re doing to address these issues.
Identify AI misuse with authenticity checks
Authenticity checks automatically detect AI-generated free-text responses, with 98.7% accuracy. Free to use with Qualtrics, Gorilla, and Prolific's in-built data collection, they make it easy to identify and remove AI-generated responses, saving hours of manual checks.
Cited papers
While we regularly monitor our own data quality, some third-party researchers also compare online research platforms like ours. Read their research below.
