Law Review Publications

  1. Victor Y. Wu, Note, Watering Down Enforcement: Inadequate Criminal Liability in State Clean Water Act Programs. 77 Stan. L. Rev. ___ (forthcoming 2025).
    • Stanford Law School Olaus & Adolf Murie Award.

Peer-Reviewed Publications

  1. Wu, Victor Y., and Joseph Bafumi. 2024. “Disaffected Partisans Who Want a Third Party Are Just as Polarized.” Party Politics.
    • Coverage: London School of Economics USAPP, The Science of Politics Podcast.
  2. Wu, Victor Y., and Richard Howarth. 2023. “Shifting Partisan Public Opinion Towards Community Choice Aggregation Through Outreach and Awareness.” PLOS One.
  3. Gupta, Arushi, Victor Y. Wu, Helen Webley-Brown, Jennifer King, and Daniel E. Ho. 2023. “The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government.” ACM FAccT.
    • Cited in official recommendation adopted by the National Artificial Intelligence Advisory Committee.
    • 2023 FAccT Best Paper Award, 2023 Privacy Papers for Policymakers Student Paper Award.
    • Coverage: Stanford Lawyer Magazine, Center for Public Integrity.
  4. Wu, Victor Y., John Carey, Brendan Nyhan, and Jason Reifler. 2022. “Legislator Criticism of a Candidate’s Conspiracy Beliefs Reduces Support for the Conspiracy but Not the Candidate: Evidence From Marjorie Taylor Greene and QAnon.” Harvard Kennedy School (HKS) Misinformation Review.
    • Coverage: The Washington Post.
  5. Grossmann, Matt, Kayla Hamann, Jennifer Lee, Gabrielle Levy, Brendan Nyhan, and Victor Y. Wu. 2021. “Republicans Are More Optimistic About Economic Mobility, but No Less Accurate.” Research & Politics.
  6. Chockalingam, Vignesh, Victor Y. Wu, Nicolas Berlinski, Zoe Chandra, Amy Hu, Erik Jones, Justin Kramer et al. 2021. “The Limited Effects of Partisan and Consensus Messaging in Correcting Science Misperceptions.” Research & Politics.

Under Review


Other Publications

  1. Wu, Victor Y. 2024. “Centrist third parties like No Labels are not the solution for Americans unhappy with the two-party system.” London School of Economics USAPP.
  2. Gupta, Arushi, Victor Y. Wu, Helen Webley-Brown, Jennifer King, and Daniel E. Ho. 2023. “The Privacy-Bias Trade-Off.” Stanford University Human-Centered Artificial Intelligence (HAI) Policy Briefs.
  3. Wu, Victor Y. 2022. “Marjorie Taylor Greene’s supporters don’t care what critics think.” The Washington Post.