Identifikationsbasierter Zweifel in Konfliktdynamiken
In: Konflikt-Dynamik: Verhandeln, Vermitteln und Entscheiden in Wirtschaft und Gesellschaft, Band 8, Heft 1, S. 56-63
ISSN: 2510-4233
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In: Konflikt-Dynamik: Verhandeln, Vermitteln und Entscheiden in Wirtschaft und Gesellschaft, Band 8, Heft 1, S. 56-63
ISSN: 2510-4233
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. ; peerReviewed ; publishedVersion
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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.
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Selten war die gesellschaftliche Mitte so "gefordert" wie heute. Rechtsextremismus, Populismus, Rassismus setzen ihr zu. Alle zwei Jahre untersucht die Mitte-Studie der Friedrich-Ebert-Stiftung rechtsextreme und demokratiegefährdende Einstellungen in der deutschen Gesellschaft. Die aktuelle repräsentative Umfrage von Dezember 2020 bis Frühjahr 2021 zeigt: Die "Mitte" ist gefordert, Haltung zu zeigen, Position zu beziehen und ihre Demokratie zu stärken! Dazu hat sie das Potenzial. Hasskampagnen, Gewalt, rechter Terror und neue rechte Gruppen haben die Mitte in den vergangenen Jahren getroffen. Nun kommt die Coronapandemie mit globalen Unsicherheiten und unkalkulierbaren Folgekrisen dazu. Was heißt das für die demokratische Orientierung der Gesellschaft? Die hier vorliegende Mitte-Studie 2020/21 erkennt sowohl Entwicklungen, die die Demokratie fördern, als auch solche, die sie gefährden. Die Mitte selbst schätzt den Rechtsextremismus als größte Bedrohung für die Demokratie ein, und hierin liegt die Chance, ihm zu begegnen
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