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David Rand

David Rand

· Professor, Professor of Marketing and Management Communications, S.C. Johnson Graduate School of Management, and Professor of Information Science, A.S. Bowers College of Computing and Information Science

Cornell University · Psychology

Active 2006–2026

h-index100
Citations51.7k
Papers606279 last 5y
Funding—

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

David Rand is a professor affiliated with the Department of Psychology at Cornell University. He holds positions as a Professor of Marketing and Management Communications at the S.C. Johnson Graduate School of Management and as a Professor of Information Science at the A.S. Bowers College of Computing and Information Science. His academic work spans multiple departments, reflecting a multidisciplinary approach to understanding human cognition, decision-making, and social behavior. The information provided indicates his involvement in research related to psychology, social and personality studies, and the intersection of technology and human behavior, contributing to the university's diverse academic community.

Research topics

  • Political Science
  • Computer Science
  • Psychology
  • Sociology
  • Social psychology
  • Medicine
  • Computer Security
  • Social Science
  • Internet privacy
  • Advertising

Selected publications

  • Tackling misinformation: What researchers could do with social media data

    2020 · 87 citations

    Written by Michelle A. Amazeen, Fabrício Benevenuto, Nadia M. Brashier, Robert M. Bond, Lia C. Bozarth, Ceren Budak, Ullrich K. H. Ecker, Lisa K. Fazio, Emilio Ferrara, Andrew J. Flanagin, Ales-sandro Flammini, Deen Freelon, Nir Grinberg, Ralph Hertwig, Kathleen Hall Jamieson, Kenneth Jo-seph, Jason J. Jones, R. Kelly Garrett, Daniel Kreiss, Shannon McGregor, Jasmine McNealy, Drew Margolin, Alice Marwick, FiIippo Menczer, Miriam J. Metzger, Seungahn Nah, Stephan Lewan-dowsky, Philipp Lorenz-Spre…

    PublisherDOI

  • The levers of political persuasion with conversational artificial intelligence

    Science · 2025-12-04 · 17 citations

    articleOpen accessCorresponding

    There are widespread fears that conversational artificial intelligence (AI) could soon exert unprecedented influence over human beliefs. In this work, in three large-scale experiments ( N = 76,977 participants), we deployed 19 large language models (LLMs)—including some post-trained explicitly for persuasion—to evaluate their persuasiveness on 707 political issues. We then checked the factual accuracy of 466,769 resulting LLM claims. We show that the persuasive power of current and near-future A…

    PublisherOA PDFDOI

  • Persuading voters using human–artificial intelligence dialogues

    Nature · 2025-12-04 · 13 citations

    articleOpen accessSenior author
    PublisherOA PDFDOI

  • How malicious AI swarms can threaten democracy

    Science · 2026-01-22 · 10 citations

    articleOpen access

    The fusion of agentic AI and LLMs marks a new frontier in information warfare.

    PublisherOA PDFDOI

  • Divergent patterns of engagement with partisan and low-quality news across seven social media platforms

    Proceedings of the National Academy of Sciences · 2025-10-30 · 3 citations

    articleOpen accessSenior author

    In recent years, social media has become increasingly fragmented, as platforms evolve and new alternatives emerge. Yet most research studies a single platform-typically X/Twitter, or occasionally Facebook-leaving little known about the broader social media landscape. Here, we shed light on patterns of cross-platform variation in the high-stakes context of news sharing. We examine the relationship between user engagement and news domains' political orientation and quality across seven platforms:…

    PublisherOA PDFDOI

Frequent coauthors

  • Gordon Pennycook

    University of Regina

    252 shared

  • Antonio A. Arechar

    Centro de Investigación y Docencia Económicas

    116 shared

  • Mohsen Mosleh

    Massachusetts Institute of Technology

    111 shared

  • Martin A. Nowak

    Harvard University

    64 shared

  • Cameron Martel

    53 shared

  • Hause Lin

    Massachusetts Institute of Technology

    45 shared

  • Adam J. Berinsky

    Massachusetts Institute of Technology

    43 shared

  • Ziv Epstein

    Stanford University

    37 shared

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