Weitere Publikationen aus diesem Projekt

Leah von der Heyde, Anna-Carolina Haensch, Alexander Wenz
2024
Can Large Language Models Estimate How People Vote? Evidence from Germany
Barcelona
mehr
Anna-Carolina Haensch, Leah von der Heyde, Alexander Wenz
2024
Can large language models predict how people vote? Evidence from Germany
Philadelphia, PA
mehr
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
mehr
Alexander Wenz, Anna-Carolina Haensch
2024
Using large language models for evaluating and improving survey questions
Cologne
mehr
Leah von der Heyde, Anna-Carolina Haensch, Alexander Wenz
2024
Can large language models estimate how people vote? Evidence from Germany
Göttingen
mehr
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
mehr
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
mehr
Leah von der Heyde, Anna-Carolina Haensch, Alexander Wenz
2023
Vox Populi, vox AI? Using language models to estimate German public opinion
S. 64
mehr
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
mehr