Blog

Discover the importance of ethical considerations in research and learn about best practices and real-life examples in this comprehensive guide.

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At 7am (GMT) Sunday 19th March, the Prolific team became aware of a malicious user on our platform. We are deeply sorry that this happened and have reported the incident to the ICO.

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Gain a deeper understanding of the different types of bias in research and learn how to identify, prevent and overcome them.

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Need niche samples for your research? Custom screening studies can help. Follow these simple tips to make sure you get the best results every time.

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It’s a hotly debated topic in the research world – but one that’s often misunderstood. Learn more about Frequentist vs. Bayesian statistics in our quick guide.

AI requires extensive training from research participants, who are often poorly paid. Read on to learn the importance of ethical pay to AI and data ethics.

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Representative samples make your findings more generalizable. In this post, we explain how to create a representative sample for your study.

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AI data scraping is a popular method for gathering machine learning training data, but many ethical concerns surround the practice.

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Learn about the different ethical issues in online research, including pay, contracts, and working conditions, as well as how to overcome them.

This year's Flexa100 has been released and we're excited to reveal where we placed, as well as reactions from our Prolificos!