Kobi Hackenburg

PhD Candidate, University of OxfordResearch Scientist, UK AI Security Institute

Curriculum Vitae

Portrait of Kobi Hackenburg

About

I am a computational social scientist studying persuasion, communication, and artificial intelligence. My research combines human experiments with hands-on work building and training AI systems to answer fundamental questions about the dynamics of individual and collective influence. My work has been published in journals including Science, PNAS, and Nature Human Behaviour, and covered in venues such as The New York Times, The Washington Post, The Atlantic, The Guardian, and MIT Technology Review.

Currently, I am finishing my PhD in social data science at the University of Oxford as a Clarendon Scholar, advised by Chris Summerfield and Helen Margetts. Alongside my PhD, I work as a Research Scientist at the UK AI Security Institute, where I lead research on AI persuasion and human influence. I am also a Visiting Fellow at the LSE Data Science Institute.

News

Selected Publications

All Publications

Names in bold denote K. Hackenburg; * denotes equal contribution. See also Google Scholar.

Preprints & Working Papers

  1. Hackenburg, K., Wagner, C., Hewitt, L., Tappin, B. M., Saunders, E., Kirk, H. R., Margetts, H., & Summerfield, C. (2026). AI systems out-persuade expert humans. Under review at Nature. Data + Code
  2. Röttger, P., Hackenburg, K., Kirk, H. R., & Summerfield, C. (2026). Measuring and mitigating persona distortions from AI writing assistance. Under review at Nature.
  3. Yang, M., Casper, S., Stray, J., Li, J., Jones, C., Gausen, A., Jacques, N., Christian, B., Gyevnár, B., Kirk, H. R., He, Z., Zhao, D., Looi, S. S., Levy, J., Hackenburg, K., Seger, E., Kowal, M., Malonza, M., Hewitt, L., Lin, H., Sap, M., Hadfield-Menell, D., Costello, T., Rabbany, R., Godbout, J.-F., Rand, D. G., Kasirzadeh, A., Pennycook, G., Bengio, Y., & Pelrine, K. (2026). AI epistemic risks: Emerging mechanisms & evidence. SSRN working paper.
  4. Summerfield, C., Anselmetti, R., Avin, S., Cheung, V., Eccles, T., Gausen, A., Hackenburg, K., et al. (2026). How is AI impacting people? Under review at Nature Human Behaviour.
  5. Luettgau, L., Kirk, H. R., Hackenburg, K., Bergs, J., Davidson, H., Ogden, H., Siddarth, D., Huang, S., & Summerfield, C. (2025). Conversational AI increases political knowledge as effectively as self-directed internet search.
  6. Summerfield, C., Luettgau, L., Dubois, M., Kirk, H. R., Hackenburg, K., Fist, C., Slama, K., Ding, N., Anselmetti, R., Strait, A., Giulianelli, M., & Ududec, C. (2025). Lessons from a Chimp: AI “Scheming” and the Quest for Ape Language.

Peer-Reviewed Publications

2026

  1. Hackenburg, K.*, Hewitt, L.*, Wagner, C., Summerfield, C., & Tappin, B. M. (2026). Artificial intelligence can persuade people to take political actions. Proceedings of the National Academy of Sciences, in press. Data + Code
  2. Belluzzo, U., Hackenburg, K., Kirk, H. R., Hale, S. A., & Röttger, P. (2026). This House Debates AI: Evaluating a language model in Oxford-style debates against human experts. Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC).
  3. Röttger, P., Hinck, M., Hofmann, V., Hackenburg, K., Pyatkin, V., Brahman, F., & Hovy, D. (2026). IssueBench: Millions of realistic prompts for measuring issue bias in LLM writing assistance. Transactions of the Association for Computational Linguistics, 14, 318–340.

2025

  1. Hackenburg, K.*, Tappin, B. M.*, Hewitt, L., Saunders, E., Black, S., Lin, H., Fist, C., Margetts, H., Rand, D. G., & Summerfield, C. (2025). The levers of political persuasion with conversational artificial intelligence. Science, 390(6777), eaea3884. Data + Code
  2. Summerfield, C., Argyle, L. P., Bakker, M., Collins, T., Durmus, E., Eloundou, T., Gabriel, I., Ganguli, D., Hackenburg, K., Hadfield, G. K., Hewitt, L., Huang, S., Landemore, H., Marchal, N., Ovadya, A., Procaccia, A., Risse, M., Schneier, B., Seger, E., Siddarth, D., Sætra, H. S., Tessler, M. H., & Botvinick, M. (2025). The impact of advanced AI systems on democracy. Nature Human Behaviour, 9(12), 2420–2430.
  3. Hackenburg, K., Tappin, B. M., Röttger, P., Hale, S. A., Bright, J., & Margetts, H. (2025). Scaling language model size yields diminishing returns for single-message political persuasion. Proceedings of the National Academy of Sciences, 122(10), e2413443122. PDF Data + Code
  4. Hackenburg, K.*, Ibrahim, L.*, Tappin, B. M., & Tsakiris, M. (2025). Comparing the persuasiveness of role-playing large language models and human experts on polarized US political issues. AI & SOCIETY, 1–11. Data + Code
  5. Williams, A. R., Burke-Moore, L., Chan, R. S. Y., Enock, F. E., Nanni, F., Sippy, T., Chung, Y.-L., Gabasova, E., Hackenburg, K., & Bright, J. (2025). Large language models can consistently generate high-quality content for election disinformation operations. PLOS ONE, 20(3), e0317421.
  6. Von Mohr, M., Hackenburg, K., Tanzer, M., Fotopoulou, A., Campbell, C., & Tsakiris, M. (2025). A leader I can (not) trust: understanding the path from epistemic trust to political leader choices via dogmatism. Politics and the Life Sciences, 44(1), 88–107.

2024

  1. Hackenburg, K. & Margetts, H. (2024). Evaluating the persuasive influence of political microtargeting with large language models. Proceedings of the National Academy of Sciences, 121(24), e2403116121. PDF Data + Code
  2. Hackenburg, K. & Margetts, H. (2024). Reply to Teeny and Matz: Toward the robust measurement of personalized persuasion with generative AI. Proceedings of the National Academy of Sciences, 121(43), e2418817121.
  3. Pretus, C., Javeed, A. M., Hughes, D. R., Hackenburg, K., Tsakiris, M., Vilarroya, O., & Van Bavel, J. J. (2024). The Misleading count: an identity-based intervention to counter partisan misinformation sharing. Philosophical Transactions of the Royal Society B, 379(1897), 20230040. PDF Data + Code

2023

  1. Hackenburg, K., Brady, W. J., & Tsakiris, M. (2023). Mapping moral language on US presidential primary campaigns reveals rhetorical networks of political division and unity. PNAS Nexus, 2(6), pgad189. PDF Data + Code