Search Results for author: Leah von der Heyde

Found 2 papers, 1 papers with code

United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections

no code implementations29 Aug 2024 Leah von der Heyde, Anna-Carolina Haensch, Alexander Wenz, Bolei Ma

In this study, we examine to what extent LLM-based predictions of individual public opinion exhibit context-dependent biases by predicting the results of the 2024 European Parliament elections.

Diversity

Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion

1 code implementation11 Jul 2024 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, considering their training data potentially reflects attitudes and behaviors prevalent in the population.

Survey

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