Safeguarding Democracy: Polarization, Populism, and Post-Truth ISS Sessions
Safeguarding Democracy: Polarization, Populism, and Post-Truth Symposia Sessions
Why do citizens support leaders who undermine democratic institutions? Recent research suggests that authoritarian leaders mobilize followers through identity-based appeals, deploy gendered imagery, and exploit online platforms to spread their message, where algorithms and user preferences amplify hostile and moralized content. Interventions such as fact-checks and polarization-reduction strategies—including personalized approaches powered by large language models—demonstrate measurable benefits, yet their effects often fade in divisive media environments.
This symposium examines these dynamics and considers how democracies can build lasting resilience in the face of evolving authoritarian tactics.
Speakers:
- Jay Van Bavel, New York University, USA
- Renée DiResta, Georgetown University, USA
- Christina Pagel, University College London, United Kingdom
- Alexander Haslam, The University of Queensland, Australia
ISS Linked Flash Talk Session
16:15 – 17:15 (4:15 PM – 5:15 PM)
Resistance, Education, and the Academic Impact of Immigration-Status Microaggressions In Diverse Universities
Presenting Author: Aldo M Barrita, Michigan State University, USA
Abstract: We surveyed 202 Latinx immigrant college students to examine how immigration-status microaggressions relate to distress and school motivation. Microaggressions predicted higher distress and lower motivation, partially via psychological distress. Moderated mediation analyses showed that resistance and discrimination-related education buffered harmful effects, highlighting protective coping processes within diverse learning environments.
Emotion Regulation Shapes Response to Moral Disagreement In Live Conversations
Presenting Author: Yi Zhang, University of Southern California, USA
Abstract: In a preregistered live-conversation study (N=182), participants discussed moral disagreements under mindful, suppression, or natural reaction instructions. Mindful acceptance increased positive affect, openness in expressing disagreement, and moral subjectivism. Suppression, by contrast, reduced expression. Results show that emotion regulation causally shapes interpersonal disagreement dynamics and offers a pathway for depolarization.
Who Falls for Falsehood? Correlates of Susceptibility to Misinformation and Conspiracy Theories In Adolescents
Presenting Author: Ahoo Hekmati, Paris Cité University, CNRS, France
Abstract: We examined relationships between maternal cultural values, mental-state talk, and children’s ToM in Turkiye (N=112, 53 boys, M=51.68, SD=5.25). While SES was linked to maternal cognitive talk, maternal individualism was negatively associated with children’s false belief understanding. Findings suggest high SES supports linguistic scaffolding, yet achievement-oriented values may hinder ToM.
The American Conversations Project: Durably Improving Respectful Communication In Cross Partisan Conversations
Presenting Author: Will Blakey, Stanford University, USA
Abstract: We created a brief (20-minute), social-psychological intervention to change how people think about and communicate in political disagreements. In a preregistered longitudinal RCT with a U.S. census–matched sample of 1,027 university students, treated participants wrote more respectfully to outpartisans at each survey-wave, including one month later in a disconnected survey.
When Disadvantage Divides: How Perceived Discrimination Pushes Men Away From Democracy but Pulls Women Toward It
Presenting Author: Tehila Kogut, Ben-Gurion University, Israel
Abstract: Across a large European survey and an experiment, we show that gendered perceptions of discrimination shape democratic support in opposite ways: women strengthen democratic commitment when threatened, whereas men reduce theirs under status insecurity. These divergent reactions reveal how subjective disadvantage fuels democratic erosion and opens pathways for populist mobilization.
ISS Linked Workshop: Leveraging Large Language Models to Study Democracy-Related Questions
17:30 – 19:00 (5:30 PM – 7:00 PM)
Presenters:
- Steve J. Rathje, Carnegie Mellon University, USA
- Jon Roozenbeek, University of Cambridge, United Kingdom
- Ili Ma, Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands
Abstract: We plan to provide a hands-on tutorial on recent advances in AI that can be used to improve methods for studying democracy-related questions (for instance, by classifying large-scale text data and creating interactive experiments). We will also discuss the strengths, challenges, and ethical issues involved in using large language models in research.