Kobi Hackenburg

According to our database, Kobi Hackenburg authored at least 10 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Measuring and Mitigating Persona Distortions from AI Writing Assistance.

Paul Röttger, Kobi Hackenburg, Hannah Rose Kirk, Christopher Summerfield

CoRR, April, 2026

Artificial intelligence can persuade people to take political actions.

Kobi Hackenburg, Luke Hewitt, Caroline Wagner, Ben M. Tappin, Christopher Summerfield

CoRR, April, 2026

Comparing the persuasiveness of role-playing large language models and human experts on polarized U.S. political issues.

Kobi Hackenburg, Lujain Ibrahim, Ben M. Tappin, Manos Tsakiris

AI Soc., January, 2026

IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance.

Paul Röttger, Musashi Hinck, Valentin Hofmann, Kobi Hackenburg, Valentina Pyatkin, Faeze Brahman, Dirk Hovy

Trans. Assoc. Comput. Linguistics, 2026

2025

Conversational AI increases political knowledge as effectively as self-directed internet search.

Lennart Luettgau, Hannah Rose Kirk, Kobi Hackenburg, Jessica Bergs, Henry Davidson, Henry Ogden, Divya Siddarth, Saffron Huang, Christopher Summerfield

CoRR, September, 2025

The Levers of Political Persuasion with Conversational AI.

Kobi Hackenburg, Ben M. Tappin, Luke Hewitt, Ed Saunders, Sid Black, Hause Lin, Catherine Fist, Helen Z. Margetts, David G. Rand, Christopher Summerfield

CoRR, July, 2025

Lessons from a Chimp: AI "Scheming" and the Quest for Ape Language.

Christopher Summerfield, Lennart Luettgau, Magda Dubois, Hannah Rose Kirk, Kobi Hackenburg, Catherine Fist, Katarina Slama, Nicola Ding, Rebecca Anselmetti, Andrew Strait, Mario Giulianelli, Cozmin Ududec

CoRR, July, 2025

2024

How will advanced AI systems impact democracy?

Christopher Summerfield, Lisa Argyle, Michiel A. Bakker, Teddy Collins, Esin Durmus, Tyna Eloundou, Iason Gabriel, Deep Ganguli, Kobi Hackenburg, Gillian K. Hadfield, Luke Hewitt, Saffron Huang, Hélène Landemore, Nahema Marchal, Aviv Ovadya, Ariel D. Procaccia, Mathias Risse, Bruce Schneier, Elizabeth Seger, Divya Siddarth, Henrik Skaug Sætra, MH Tessler, Matthew Botvinick

CoRR, 2024

Large language models can consistently generate high-quality content for election disinformation operations.

Angus R. Williams, Liam Burke-Moore, Ryan Sze-Yin Chan, Florence E. Enock, Federico Nanni, Tvesha Sippy, Yi-Ling Chung, Evelina Gabasova, Kobi Hackenburg, Jonathan Bright

CoRR, 2024

Evidence of a log scaling law for political persuasion with large language models.

Kobi Hackenburg, Ben M. Tappin, Paul Röttger, Scott Hale, Jonathan Bright, Helen Z. Margetts

CoRR, 2024