I'm a PhD candidate in Social Data Science at the University of Oxford. My doctoral research evaluates the capabilities of artificial intelligence systems to influence human attitudes, behavior, and cognition. Alongside my PhD, I work as a research scientist at the UK AI Safety Institute.

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2024

Hackenburg, K. Tappin, B.M., Röttger, P., Hale, S., Bright, J., & Margetts, H. (2024). Evidence of a log scaling law for political persuasion with large language models. ArXiv.
[Preprint] [Data + Code]

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.
[Article] [PDF] [Data + Code]

Pretus, C., Javeed, A., Hughes, D., Hackenburg, K., Tsakiris, M., Vilarroya, O., Van Bavel, J. (2024). The misleading count: An identity-based intervention to counter partisan misinformation sharing. Philosophical Transactions of the Royal Society B, 379(20230040).
[Article] [PDF] [Data + Code]

2023

Hackenburg, K., Ibrahim, L., Tappin, B., & Tsakiris, M. (2023). Comparing the persuasiveness of role-playing large language models and human experts on polarized U.S. political issues. Preprint.
[Preprint] [Data + Code]

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.
[Article] [PDF] [Data + Code]

* [July 2024] Joined the UK AI Safety Institute as a Research Scientist on the Societal Impacts team

* [June 2024] Released pre-print on scaling laws for political persuasion with large language models

* [June 2024] Published my MSc thesis on political microtargeting with large language models in PNAS

* [October 2023] Joined The Alan Turing Insitute, the UK's national instutite for data science and artificial intelligence, as a doctoral researcher

* [September 2023] Started my PhD in Social Data Science at the University of Oxford, funded by a Clarendon Scholarship

My full CV can will soon be found here. In the meantime:

My doctoral research, funded by a Clarendon Scholarship and supervised by Chris Summerfield and Helen Margetts, evaluates the capabilities of artificial intelligence systems to influence human attitudes, behaviour, and cognition.

Alongside my PhD, I work as a Research Scientist on the Societal Impacts team at the UK AI Safety Institute. Previously, I worked at The Alan Turing Institute, the UK's national institute for AI and data science, and at the Centre for the Politics of Feelings, an interdisciplinary political neuroscience lab devoted to the study of emotions and political behaviour. I’ve also worked at The Brookings Institution and on several U.S. national political campaigns.

Prior to my PhD, I completed MSc degrees in Social Data Science (at the University of Oxford) and Political Communication (at the London School of Economics and Political Science). I hold a BA in Political Science (from the University of Wisconsin-Madison).