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When Persona Attributes Improve Population Alignment in Large Language Models
Leon Fröhling, Jens Rupprecht, Markus Strohmaier +1
Large Language Models (LLMs) are increasingly used to predict the responses of human participants in survey panels. Towards that goal, persona prompting has recently emerged as a t…
Hybrid Panels: Toward Human-AI Collaboration in Survey Research
Julia Romberg, Tobias Gummer, Gabriella Lapesa +2
Large-scale population surveys are essential for generating robust social and scientific insights, yet they face significant challenges, including declining response rates, increas…
From Emotion to Expression: Theoretical Foundations and Resources for Fear Speech
Vigneshwaran Shankaran, Gabriella Lapesa, Claudia Wagner
Few forces rival fear in their ability to mobilize societies, distort communication, and reshape collective behavior. In computational linguistics, fear is primarily studied as an…
German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM Studies
Jens Rupprecht, Leon Fröhling, Claudia Wagner +1
The use of Large Language Models (LLMs) for simulating human perspectives via persona prompting is gaining traction in computational social science. However, well-curated, empirica…