4 papers
Total Simulated Survey Error: Designing and Diagnosing Survey Responses from Large Language Models
Indira Sen, Georg Ahnert, Leah von der Heyde +3
Large Language models (LLMs), having been trained on vast amounts of human-generated data, may encode the attitudes and behaviors of these humans. As such, LLMs show promise in mim…
More Parameters Than Populations: A Systematic Literature Review of Large Language Models within Survey Research
Trent D. Buskirk, Florian Keusch, Leah von der Heyde +1
[Working Paper] Survey research has a long-standing history of being a human-powered field, but one that embraces various technologies for the collection, processing, and analysis…
AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation
Leah von der Heyde, Anna-Carolina Haensch, Bernd Weiß +1
The recent development and wider accessibility of LLMs have spurred discussions about how they can be used in survey research, including classifying open-ended survey responses. Du…
Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion
Leah von der Heyde, Anna-Carolina Haensch, Alexander Wenz
The recent development of large language models (LLMs) has spurred discussions about whether LLM-generated "synthetic samples" could complement or replace traditional surveys, cons…