activity
20232025
most citedThe Self-Perception and Political Biases of ChatGPT

27 citations · 28 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

MTevent: A Multi-Task Event Camera Dataset for 6D Pose Estimation and Moving Object Detection

Shrutarv Awasthi, Anas Gouda, Sven Franke +3

Mobile robots are reaching unprecedented speeds, with platforms like Unitree B2, and Fraunhofer O3dyn achieving maximum speeds between 5 and 10 m/s. However, effectively utilizing…

cs.LG2025★ 1 cited

A Cautionary Tale About "Neutrally" Informative AI Tools Ahead of the 2025 Federal Elections in Germany

Ina Dormuth, Sven Franke, Marlies Hafer +6

In this study, we examine the reliability of AI-based Voting Advice Applications (VAAs) and large language models (LLMs) in providing objective political information. Our analysis…

cs.CL2024

Is GPT-4 Less Politically Biased than GPT-3.5? A Renewed Investigation of ChatGPT's Political Biases

Erik Weber, Jérôme Rutinowski, Niklas Jost +1

This work investigates the political biases and personality traits of ChatGPT, specifically comparing GPT-3.5 to GPT-4. In addition, the ability of the models to emulate political…

cs.CL2024

Behind the Screen: Investigating ChatGPT's Dark Personality Traits and Conspiracy Beliefs

Erik Weber, Jérôme Rutinowski, Markus Pauly

ChatGPT is notorious for its intransparent behavior. This paper tries to shed light on this, providing an in-depth analysis of the dark personality traits and conspiracy beliefs of…

cs.CY2023★ 27 cited

The Self-Perception and Political Biases of ChatGPT

Jérôme Rutinowski, Sven Franke, Jan Endendyk +2

This contribution analyzes the self-perception and political biases of OpenAI's Large Language Model ChatGPT. Taking into account the first small-scale reports and studies that hav…