Hi! I'm a PhD candidate in Social Data Science at the Oxford Internet Institute, University of Oxford. My doctoral research, funded by a Clarendon Scholarship and supervised by Helen Margetts and Scott Hale, investigates the persuasive influence of personalized AI systems. More broadly, my work lies at the intersection of computation, language, and society.
Alongside my PhD, I work as a Doctoral Researcher in the Public Policy Programme at The Alan Turing Institute, the UK's national institute for AI and data science. My work there centers on the development of empirical methods for the measurement and evaluation of harmful capabilities in large language models, with a particular focus on mitigating risks during elections and other high-stakes political contexts.
My background is in data science and political communication. 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.
Peer-reviewed research articles
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2024
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). https://doi.org/10.1098/rstb.2023.0040
[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. & Margetts, M. (2023). Evaluating the persuasive infleunce of political microtargeting with large language models. 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. https://doi.org/10.1093/pnasnexus/pgad189
[PDF] [Data + Code]
CV content coming soon...