More publications of this project

Leah von der Heyde, Anna-Carolina Haensch, Alexander Wenz
2024
Can Large Language Models Estimate How People Vote? Evidence from Germany
Barcelona
Alexander Wenz, Anna-Carolina Haensch
2024
Using large language models for evaluating and improving survey questions
Cologne
Anna-Carolina Haensch, Leah von der Heyde, Alexander Wenz
2024
Can large language models predict how people vote? Evidence from Germany
Philadelphia, PA
Leah von der Heyde, Anna-Carolina Haensch, Alexander Wenz
2024
United in diversity? Contextual biases in LLM- based predictions of the 2024 European Parliament Elections
S. 23
Ithaca, NY
Cornell University
Leah von der Heyde, Anna-Carolina Haensch, Alexander Wenz
2024
Vox populi, vox AI? Estimating German public opinion through language models
Cologne
Leah von der Heyde, Anna-Carolina Haensch, Alexander Wenz
2024
Can large language models estimate how people vote? Evidence from Germany
Göttingen
Leah von der Heyde, Anna-Carolina Haensch, Alexander Wenz
2024
Vox Populi, vox AI? Using language models to estimate German public opinion
S. 72
Ithaca, NY
Cornell University
Leah von der Heyde, Anna-Carolina Haensch, Alexander Wenz
2023
Assessing bias in LLM-generated synthetic datasets: The case of German voter behavior
S. 7
Leah von der Heyde, Alexander Wenz, Anna-Carolina Haensch
2023
Artificial intelligence, unbiased opinions? Assessing GPT’s suitability for estimating public opinion in multi- party systems
Kassel