Persona-driven Simulation of Voting Behavior in the European Parliament with Large Language Models (2026.findings-eacl)
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| Challenge: | Large Language Models exhibit a progressive left-leaning bias, but can also produce behavior that aligns with socioeconomic groups. |
| Approach: | They analyze whether persona prompting can accurately predict individual voting decisions . they find that they can simulate the voting behavior of European Parliament members reasonably well . |
| Outcome: | The proposed model can predict the voting behavior of European Parliament members reasonably well, with a weighted F1 score of approximately 0.793. |
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