Rand, David G.

The evolution of antisocial punishment in optional public goods games

Rand, D. G., & Nowak, M. A. (2011) · Nature Communications

Evolutionary Game Theory and CooperationExperimental Behavioral Economics Studies

Cited by 350

Don’t get it or don’t spread it: Comparing self-interested versus prosocial motivations for COVID-19 prevention behaviors

Jordan, J., Yoeli, E., & Rand, D. G. (2020) · Scientific Reports

Communication and COVID-19 ImpactCOVID-19 Prevention and Impact

Cited by 348

Belief in fake news is associated with delusionality, dogmatism, religious fundamentalism, and reduced analytic thinking.

Bronstein, M. V., Pennycook, G., Bear, A., Rand, D. G., & Cannon, T. D. (2019) · Journal of Applied Research in Memory and Cognition

Misinformation and Its ImpactsDecision-Making and Behavioral Economics

Cited by 324

Accuracy prompts are a replicable and generalizable approach for reducing the spread of misinformation

Pennycook, G., & Rand, D. G. (2022) · Nature Communications

Misinformation and Its ImpactsAcademic Publishing and Open Access

Cited by 270

A field experiment on community policing and police legitimacy

Peyton, K., Sierra-Arévalo, M., & Rand, D. G. (2019) · Proceedings of the National Academy of Sciences

Policing Practices and PerceptionsCrime Patterns and Interventions

Cited by 254

Interventions Reducing Affective Polarization Do Not Necessarily Improve Anti-Democratic Attitudes

Voelkel, J. G., Chu, J., Stagnaro, M., Mernyk, J. S., Redekopp, C., Pink, S. L., Druckman, J., Rand, D. G., & Willer, R. (2021) · Nature Human Behaviour

Electoral Systems and Political ParticipationSocial and Intergroup Psychology

Cited by 247

Scaling up fact-checking using the wisdom of crowds

Allen, J., Arechar, A. A., Pennycook, G., & Rand, D. G. (2021) · Science Advances

Misinformation and Its ImpactsMobile Crowdsensing and Crowdsourcing

Cited by 234

Anti-social punishment can prevent the co-evolution of punishment and cooperation

Rand, D. G., Armao IV, J. J., Nakamaru, M., & Ohtsuki, H. (2010) · Journal of Theoretical Biology

Evolutionary Game Theory and CooperationExperimental Behavioral Economics Studies

Cited by 233

Timing matters when correcting fake news

Brashier, N. M., Pennycook, G., Berinsky, A. J., & Rand, D. G. (2021) · Proceedings of the National Academy of Sciences

Misinformation and Its ImpactsEpistemology, Ethics, and Metaphysics

Cited by 216

Understanding and combatting misinformation across 16 countries on six continents

Arechar, A. A., Allen, J., Berinsky, A. J., Cole, R., Epstein, Z., Garimella, K., Gully, A., Lu, J. G., Ross, R. M., Stagnaro, M. N., et al. (2023) · Nature Human Behaviour

Misinformation and Its ImpactsCommunication and COVID-19 Impact

Cited by 188

Promoting cooperation in the field

Kraft-Todd, G., Yoeli, E., Bhanot, S., & Rand, D. (2015) · Current Opinion in Behavioral Sciences

Experimental Behavioral Economics StudiesDecision-Making and Behavioral Economics

Cited by 178

Information gerrymandering and undemocratic decisions

Stewart, A. J., Mosleh, M., Diakonova, M., Arechar, A. A., Rand, D. G., & Plotkin, J. B. (2019) · Nature

Opinion Dynamics and Social InfluenceComplex Network Analysis Techniques

Cited by 176

Cognitive reflection correlates with behavior on Twitter

Mosleh, M., Pennycook, G., Arechar, A. A., & Rand, D. G. (2021) · Nature Communications

Decision-Making and Behavioral EconomicsDigital Media and Philosophy

Cited by 175

Megastudy testing 25 treatments to reduce antidemocratic attitudes and partisan animosity

Voelkel, J. G., Stagnaro, M., Chu, J., Pink, S. L., Mernyk, J. S., Redekopp, C., Ghezae, I., Cashman, M., Adjodah, D., Allen, L., et al. (2023) · Science

Electoral Systems and Political ParticipationSocial and Intergroup Psychology

Cited by 174

Megastudy testing 25 treatments to reduce antidemocratic attitudes and partisan animosity

Voelkel, J. G., Stagnaro, M. N., Chu, J. Y., Pink, S. L., Mernyk, J. S., Redekopp, C., Ghezae, I., Cashman, M., Adjodah, D., Allen, L. G., et al. (2024) · Science

Electoral Systems and Political ParticipationSocial and Intergroup Psychology

Cited by 174

Who Gets Credit for AI-Generated Art?

Epstein, Z., Levine, S., Rand, D. G., & Rahwan, I. (2020) · iScience

Aesthetic Perception and AnalysisSocial Robot Interaction and HRI

Cited by 157

Rethinking the link between cognitive sophistication and politically motivated reasoning.

Tappin, B. M., Pennycook, G., & Rand, D. G. (2021) · Journal of Experimental Psychology: General

Social and Intergroup PsychologyDecision-Making and Behavioral Economics

Cited by 154

Emphasizing publishers does not effectively reduce susceptibility to misinformation on social media

Dias, N., Pennycook, G., & Rand, D. G. (2020) · Harvard Kennedy School Misinformation Review

Misinformation and Its ImpactsSocial Media and Politics

Cited by 145

Bayesian or biased? Analytic thinking and political belief updating

Tappin, B. M., Pennycook, G., & Rand, D. G. (2020) · Cognition

Decision-Making and Behavioral EconomicsElectoral Systems and Political Participation

Cited by 127

Shared partisanship dramatically increases social tie formation in a Twitter field experiment

Mosleh, M., Martel, C., Eckles, D., & Rand, D. G. (2021) · Proceedings of the National Academy of Sciences

Social Media and PoliticsElectoral Systems and Political Participation

Cited by 123

Misinformation warning labels are widely effective: A review of warning effects and their moderating features

Martel, C., & Rand, D. G. (2023) · Current Opinion in Psychology

Misinformation and Its ImpactsAcademic Publishing and Open Access

Cited by 122

The (minimal) persuasive advantage of political video over text

Wittenberg, C., Tappin, B. M., Berinsky, A. J., & Rand, D. G. (2021) · Proceedings of the National Academy of Sciences

Media Influence and PoliticsNews Media Framing and Political Communication

Cited by 114

Exploring Lightweight Interventions at Posting Time to Reduce the Sharing of Misinformation on Social Media

Jahanbakhsh, F., Zhang, A. X., Berinsky, A. J., Pennycook, G., Rand, D. G., & Karger, D. R. (2021) · Proceedings of the ACM on Human-Computer Interaction

Misinformation and Its ImpactsComplex Network Analysis Techniques

Cited by 112

Perverse Downstream Consequences of Debunking: Being Corrected by Another User for Posting False Political News Increases Subsequent Sharing of Low Quality, Partisan, and Toxic Content in a Twitter Field Experiment

Mosleh, M., Martel, C., Eckles, D., & Rand, D. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Misinformation and Its ImpactsSocial Media and Politics

Cited by 106