Political polarization between conservatives and liberals threatens democratic societies. Ameliorating liberal research participants’ negative feelings, evaluations, and stereotypes towards conservatives might be one step into the direction of a political depolarization. In a sample of U.S.-American liberal research participants recruited via Amazon’s Mechanical Turk (N = 271), we randomly assigned participants in a pre-post-design either to a clinical-psychological, metacognitive-intervention (MCT), an educational, or a no-treatment-no-pre-measurement-control-condition. In the MCT-condition, participants were first asked seemingly simple questions that frequently elicited incorrect responses, followed by corrective information. In the educational condition, information was conveyed in a simple narrative form. MCT was significantly more effective in ameliorating liberal participants’ negative feelings, evaluations, and stereotypes towards conservatives compared to the other two control-conditions. Further, MCT-participants significantly reduced their negative feelings, negative evaluations, and perceptions of threat from pre- to post-measurement, significantly more than participants in the educational condition. The results of our preliminary study and its implications are discussed, and recommendations for further research are made.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.