Abstract

This Article bridges critical gaps between the growing body of social science research on misinformation and the persistent challenges jurors face in evaluating potentially unreliable evidence in courtrooms. Misinformation—a pervasive issue undermining decision-making in democratic societies—mirrors the difficulties jurors encounter in distinguishing truth from falsehood amid compelling but unreliable evidence. The consequences of such challenges are dire: wrongful convictions, racial disparities, and the erosion of public trust in the legal system.

This Article is the first piece of legal scholarship to provide a comprehensive discussion of current research on the psychological mechanisms underlying susceptibility to misinformation—such as the illusory truth effect, motivated reasoning, and the continued influence of debunked claims. It is also the first to systematically examine empirically tested interventions, including debunking, prebunking, critical thinking education, and accuracy nudges, that have shown promise in combating misinformation in broader societal contexts.

Building on this foundation, this Article breaks new ground by applying insights from that research to improve jury decision-making. It proposes practical, jury-specific applications such as reason-based jury instructions, enhanced preliminary instructions, innovative teaching aids, and accuracy nudges, all aimed at increasing jurors’ sensitivity to unreliable evidence. By integrating lessons from misinformation research, this Article offers a comprehensive framework for addressing jurors’ cognitive vulnerabilities, thereby enhancing the accuracy and fairness of the jury system.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.