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Jackson G. Lu

Jackson G. Lu

· General Motors Associate Professor of Management

Massachusetts Institute of Technology · Work and Organization Studies

Active 1996–2026

h-index29
Citations4.3k
Papers9461 last 5y
Funding

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

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About

Jackson G. Lu is the General Motors Associate Professor of Work and Organization Studies at MIT Sloan School of Management. His research focuses on topics related to generative AI, including its application in entrepreneurship, cultural tendencies in generative AI, and its impact on creativity. He has contributed to understanding AI aversion or appreciation through an integrative framework and meta-analysis, and has explored issues such as breaking ceilings with debate training and stereotypes related to creativity and the Bamboo Ceiling. His work also addresses the problematic categorization of 'Asian' in research and practice, reflecting his interest in diversity and organizational behavior. Additionally, Jackson Lu serves as a senior editor for Organization Science and an associate editor for the Journal of Personality and Social Psychology, indicating his active engagement in scholarly publishing and thought leadership in his field.

Research topics

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

Selected publications

  • Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention

    Psychological Science · 2020 · 1728 citations

    Across two studies with more than 1,700 U.S. adults recruited online, we present evidence that people share false claims about COVID-19 partly because they simply fail to think sufficiently about whether or not the content is accurate when deciding what to share. In Study 1, participants were far worse at discerning between true and false content when deciding what they would share on social media relative to when they were asked directly about accuracy. Furthermore, greater cognitive reflection…

  • Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy nudge intervention

    2020 · 402 citations

    Across two studies with over 1,600 U.S. adults recruited online, we present evidence that people share false claims about COVID-19 partly because they simply fail to think sufficiently about whether or not content is accurate when deciding what to share. In Study 1, participants were far worse at discerning between true and false content when deciding what they would share on social media relative to when they are asked directly about accuracy. Furthermore, cognitive reflection and science knowl…

  • Collectivism predicts mask use during COVID-19

    Proceedings of the National Academy of Sciences · 2021 · 345 citations

    1st authorCorresponding

    Since its outbreak, COVID-19 has impacted world regions differentially. Whereas some regions still record tens of thousands of new infections daily, other regions have contained the virus. What explains these striking regional differences? We advance a cultural psychological perspective on mask usage, a precautionary measure vital for curbing the pandemic. Four large-scale studies provide evidence that collectivism (versus individualism) positively predicts mask usage-both within the United Stat…

  • Addressing climate change with behavioral science: A global intervention tournament in 63 countries

    Science Advances · 2024 · 248 citations

    Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate mitigation outcomes: beliefs, policy support, information sharing intention, and an effortful tree-planting behavioral task. Across 59,440 participants from 63 countries, the interventions' effectiveness was small, largely limited t…

  • Higher individualism predicts lower intensity of experienced love: Data from 91 countries

    2025-03-03 · 6 citations

    preprintOpen access

    Love is a near-universal human experience. However, while it transcends cultural boundaries, its intensity varies significantly across individuals and societies. We hypothesize that this variability is partly driven by socio-cultural factors, particularly individualism—a cultural orientation prioritizing personal goals over group interests. As individualism continues to rise globally, its implications for romantic relationships remain underexplored. Here, we address this by examining the link be…

Frequent coauthors

  • Adam D. Galinsky

    18 shared
  • Krystian Barzykowski

    Jagiellonian University

    18 shared
  • Asil Ali Özdoğru

    Üsküdar University

    18 shared
  • Robert M. Ross

    Macquarie University

    17 shared
  • Martin Obschonka

    14 shared
  • Carlota Batres

    13 shared
  • Michał Misiak

    13 shared
  • Mariola Paruzel‐Czachura

    13 shared

Awards & honors

  • 2025 Cummings Early to Mid-Career Scholarly Achievement Awar…
  • 2025 Best Paper in Management Education and Development Awar…
  • 2025 Best Conference Micro Paper Award from the Internationa…
  • Wegner Theoretical Innovation Prize (2024) from the Society…
  • Early Career Achievement Award from the Human Resources (HR)…

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