Stanford Seminar - Reducing Misinformation Sharing at Scale Using Digital Accuracy Prompt Ads

January 26, 2024 David Rand of MIT Interventions to reduce misinformation sharing have been a major focus in recent years. Developing "content-neutral" interventions that do not require specific fact-checks or warnings related to individual false claims is particularly important in developing scalable solutions. Here, we provide the first evaluations of a content-neutral intervention to reduce misinformation sharing that are conducted at scale in the field. Specifically, across two large-scale on-platform randomized control trials, one on Meta's Facebook and the other on Twitter, we find that simple messages reminding people to think about accuracy--delivered to large numbers of users using digital advertisements--reduce misinformation sharing, with effect sizes on par with what is typically observed in digital advertising experiments. These findings suggest that content-neutral interventions which prompt users to consider accuracy have the potential to complement existing content-specific interventions in reducing the spread of misinformation online. About the speaker: David Rand is the Erwin H. Schell Professor and Professor of Management Science and Brain and Cognitive Sciences at MIT. Bridging the fields of cognitive science, behavioral economics, and social psychology, David's research combines behavioral experiments and online/field studies with mathematical/computational models to understand human decision-making. His work focuses on illuminating why people believe and share misinformation and "fake news"; understanding political psychology and polarization; and promoting human cooperation. He has published over 200 articles in peer-reviewed journals such Nature, Science, PNAS, the American Economic Review, Psychological Science, CHI, CSCW, Management Science, New England Journal of Medicine, and the American Journal of Political Science, and his work has received widespread media attention. David regularly advises technology companies such as Google, Meta