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What Underlies Political Polarization? A Manifesto for Computational Political Psychology

Rollwage, M; Zmigrod, L; de-Wit, L; Dolan, RJ; Fleming, SM; (2019) What Underlies Political Polarization? A Manifesto for Computational Political Psychology. Trends in Cognitive Sciences , 23 (10) pp. 820-822. 10.1016/j.tics.2019.07.006. Green open access

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Abstract

Polarization is one of the biggest societal challenges of our time, yet its drivers are poorly understood. Here we propose a novel approach - computational political psychology - which uses behavioral tasks in combination with formal computational models to identify candidate cognitive processes underpinning susceptibility to polarized beliefs about political and societal issues.

Type: Article
Title: What Underlies Political Polarization? A Manifesto for Computational Political Psychology
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.tics.2019.07.006
Publisher version: https://doi.org/10.1016/j.tics.2019.07.006
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Behavioral tasks, cognitive styles, computational modeling, polarization, political psychology, radicalism
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Experimental Psychology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/10080765
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