Recruiting participants through online platforms offers efficiency and broad reach, but it also increases the risk of fraudulent survey responses from automated bots and human bad actors. These responses can undermine data integrity, render datasets unusable, and complicate participant compensation. Preventing bots and other bad actors often requires planning and implementing multiple strategies. This guidance outlines common warning signs, practical steps to mitigate fraudulent responses, and how to respond if a study is affected after it goes live.
Find the guidance on Preventing Bots and Fraudulent Responses in Online Studies here