GuesSync!: An Online Casual Game To Reduce Affective Polarization
Ashwin Rajadesingan, Daniel Choo, Jessica Zhang, Mia Inakage, Ceren Budak, Paul Resnick
Abstract
The past decade in the US has been one of the most politically polarizing in recent memory. Ordinary Democrats and Republicans fundamentally dislike and distrust each other, even when they agree on policy issues. This increase in hostility towards opposing party supporters, commonly called affective polarization, has important ramifications that threaten democracy. Political science research suggests that at least part of this polarization stems from Democrats' misperceptions about Republicans' political views and vice-versa. Therefore, in this work, drawing on insights from political science and game studies research, we designed an online casual game that combines the relaxed, playful nonpartisan norms of casual games with corrective information about party supporters' political views that are often misperceived. Through an experiment, we found that playing the game significantly reduces negative feelings toward outparty supporters among Democrats, but not Republicans. It was also effective in improving willingness to talk politics with outparty supporters. Further, we identified psychological reactance as a potential mechanism that affects the effectiveness of depolarization interventions. Finally, our analyses suggest that the game versions with political content were rated to be just as fun to play as a game version without any political content suggesting that, contrary to popular belief, people do like to mix politics and play.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get 1423876e-31f6-4501-859b-111af16fbbb5Cited by top-tier papers3
- Walk in Their Shoes to Navigate Your Own Path: Learning About Procrastination Through A Serious GameRunhua Zhang, Jiaqi Gan, Shangyuan Gao, Siyi Chen et al.CHI 2025 · 4 citations
- Polite But Boring? Trade-offs Between Engagement and Psychological Reactance to Chatbot Feedback StylesSamuel Rhys Cox, Joel Wester, Niels van BerkelCHI 2026 · 1 citation
- Infrastructuring Critical Data Literacy through Role-playing: a Retrospective Study of the Game 'Datopolis'Silvia Cazacu, Elena Simperl, Gefion Thuermer, Joe Massey et al.CSCW 2025
Related papers
- Correcting Misperceptions at a Glance: Using Data Visualizations to Reduce Political SectarianismDouglas Markant, Subham Sah, Alireza Karduni, Milad Rogha et al.IEEE VIS 2025
- 'Walking Into a Fire Hoping You Don't Catch': Strategies and Designs to Facilitate Cross-Partisan Online DiscussionsAshwin Rajadesingan, Carolyn Duran, Paul Resnick, Ceren BudakCSCW 2021 · 7 citations
- Will the Crowd Game the Algorithm?: Using Layperson Judgments to Combat Misinformation on Social Media by Downranking Distrusted SourcesZiv Epstein, Gordon Pennycook, David G. RandCHI 2020 · 68 citations
- Polarizing Political Polls: How Visualization Design Choices Can Shape Public Opinion and Increase Political PolarizationEli Holder, Cindy Xiong BearfieldIEEE VIS 2023 · 12 citations
- ChamberBreaker: Mitigating the Echo Chamber Effect and Supporting Information Hygiene through a Gamified Inoculation SystemYoungseung Jeon, Bogoan Kim, Aiping Xiong, Dongwon Lee et al.CSCW 2021 · 41 citations
