Rand, David G.

Nudging Social Media toward Accuracy

Pennycook, G., & Rand, D. G. (2022) · The ANNALS of the American Academy of Political and Social Science

Misinformation and Its ImpactsDecision-Making and Behavioral Economics

Cited by 106

Turking in the time of COVID

Arechar, A. A., & Rand, D. G. (2021) · Behavior Research Methods

Mobile Crowdsensing and CrowdsourcingNames, Identity, and Discrimination Research

Cited by 105

The social media context interferes with truth discernment

Epstein, Z., Sirlin, N., Arechar, A., Pennycook, G., & Rand, D. (2023) · Science Advances

Misinformation and Its ImpactsCommunication and COVID-19 Impact

Cited by 100

Slow to Anger and Fast to Forgive: Cooperation in an Uncertain World

Fudenberg, D., Rand, D. G., & Dreber, A. (2012) · American Economic Review

Experimental Behavioral Economics StudiesEvolutionary Game Theory and Cooperation

Cited by 97

Developing an accuracy-prompt toolkit to reduce COVID-19 misinformation online

Epstein, Z., Berinsky, A. J., Cole, R., Gully, A., Pennycook, G., & Rand, D. G. (2021) · Harvard Kennedy School Misinformation Review

Misinformation and Its ImpactsCommunication and COVID-19 Impact

Cited by 93

Measuring exposure to misinformation from political elites on Twitter

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

Misinformation and Its ImpactsSocial Media and Politics

Cited by 90

Crowds Can Effectively Identify Misinformation at Scale

Martel, C., Allen, J., Pennycook, G., & Rand, D. G. (2024) · Perspectives on Psychological Science

Misinformation and Its ImpactsMobile Crowdsensing and Crowdsourcing

Cited by 84

Quantifying the potential persuasive returns to political microtargeting

Tappin, B. M., Wittenberg, C., Hewitt, L. B., Berinsky, A. J., & Rand, D. G. (2023) · Proceedings of the National Academy of Sciences

Electoral Systems and Political ParticipationMedia Influence and Politics

Cited by 83

Representativeness and Response Validity Across Nine Opt-In Online Samples

Stagnaro, M. N., Druckman, J., Berinsky, A. J., Arechar, A. A., Willer, R., & Rand, D. G. (2024)

Survey Methodology and NonresponseMobile Crowdsensing and Crowdsourcing

Cited by 68

Will the Crowd Game the Algorithm?: Using Layperson Judgments to Combat Misinformation on Social Media by Downranking Distrusted Sources

Epstein, Z., Pennycook, G., & Rand, D. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Misinformation and Its ImpactsSocial Media and Politics

Cited by 67

Opposing Oxytocin Effects on Intergroup Cooperative Behavior in Intuitive and Reflective Minds

Ma, Y., Liu, Y., Rand, D. G., Heatherton, T. F., & Han, S. (2015) · Neuropsychopharmacology

Neuroendocrine regulation and behaviorExperimental Behavioral Economics Studies

Cited by 55

How malicious AI swarms can threaten democracy

Schroeder, D. T., Cha, M., Baronchelli, A., Bostrom, N., Christakis, N. A., Garcia, D., Goldenberg, A., Kyrychenko, Y., Leyton-Brown, K., Lutz, N., et al. (2026) · Science

Misinformation and Its ImpactsEthics and Social Impacts of AI

Cited by 53

Reliance on emotion promotes belief in fake news

Martel, C., Pennycook, G., & Rand, D. G. (2019)

Misinformation and Its ImpactsDeception detection and forensic psychology

Cited by 49

Cooperation, decision time, and culture: Online experiments with American and Indian participants

Nishi, A., Christakis, N. A., & Rand, D. G. (2017) · PLOS ONE

Experimental Behavioral Economics StudiesEvolutionary Game Theory and Cooperation

Cited by 42

Indirect Reciprocity and the Evolution of Prejudicial Groups

Whitaker, R. M., Colombo, G. B., & Rand, D. G. (2018) · Scientific Reports

Evolutionary Game Theory and CooperationLanguage and cultural evolution

Cited by 33

Durably reducing conspiracy beliefs through dialogues with AI

Costello, T. H., Pennycook, G., & Rand, D. G. (2024)

Misinformation and Its ImpactsParanormal Experiences and Beliefs

Cited by 28

Understanding and Combating Misinformation Across 16 Countries on Six Continents

Arechar, A. A., Allen, J. N. L., Berinsky, A. J., Cole, R., Epstein, Z., Garimella, K., Gully, A., Lu, J. G., Ross, R. M., Stagnaro, M., et al. (2022)

Misinformation and Its ImpactsDeception detection and forensic psychology

Cited by 25

Just the facts: How dialogues with AI reduce conspiracy beliefs

Costello, T. H., Pennycook, G., & Rand, D. G. (2025) · PsyArXiv (OSF Preprints)

Misinformation and Its ImpactsParanormal Experiences and Beliefs

Cited by 22

Evaluating expectations from social and behavioral science about COVID-19 and lessons for the next pandemic

Ruggeri, K., Stock, F., Haslam, S. A., Capraro, V., Boggio, P., Ellemers, N., Cichocka, A., Douglas, K., Rand, D. G., Cikara, M., et al. (2022)

Communication and COVID-19 ImpactCOVID-19 Prevention and Impact

Cited by 19

Dialogues with large language models reduce conspiracy beliefs even when the AI is perceived as human

Boissin, E., Costello, T. H., Spinoza-Martín, D., Rand, D. G., & Pennycook, G. (2025) · PNAS Nexus

Misinformation and Its ImpactsPsychology of Social Influence

Cited by 18

Lack of partisan bias in the identification of fake (versus real) news

Pennycook, G., & Rand, D. G. (2021) · Trends in Cognitive Sciences

Misinformation and Its ImpactsDeception detection and forensic psychology

Cited by 15

Just the facts: How dialogues with AI reduce conspiracy beliefs

Costello, T. H., Pennycook, G., & Rand, D. G. (2025)

Misinformation and Its ImpactsParanormal Experiences and Beliefs

Cited by 9