How do forewarnings and post-warnings affect misinformation reliance? The impact of warnings on the continued influence effect and belief regression.

Abstract

People often continue to rely on certain information in their reasoning, even if this information has been retracted; this is called the continued influence effect (CIE) of misinformation. One technique for reducing this effect involves explicitly warning people that there is a possibility that they might have been misled. The present study aimed to investigate these warnings' effectiveness, depending on when they were given (either before or after misinformation). In two experiments (N = 337), we found that while a forewarning did reduce reliance on misinformation, retrospectively warned participants (when the warning was placed either between the misinformation and the retraction or just before testing) relied on the misinformation to a similar degree as unwarned participants. However, the protective effect of the forewarning was not durable, as shown by the fact that reliance on the misinformation increased for over 7 days following the first testing, despite continued memory of the retraction.