"Amazing, They All Lean Left" -- Analyzing the Political Temperaments of Current LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Neuman, W. Russell, Coleman, Chad, Dasdan, Ali, Ali, Safinah, Shah, Manan, Meghani, Kund |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Convergent Ethics of AI? Analyzing Moral Foundation Priorities in Large Language Models with a Multi-Framework Approach
by: Coleman, Chad, et al.
Published: (2025)
by: Coleman, Chad, et al.
Published: (2025)
Analyzing the Ethical Logic of Six Large Language Models
by: Neuman, W. Russell, et al.
Published: (2025)
by: Neuman, W. Russell, et al.
Published: (2025)
Auditing the Ethical Logic of Generative AI Models
by: Neuman, W. Russell, et al.
Published: (2025)
by: Neuman, W. Russell, et al.
Published: (2025)
The Third Ambition: Artificial Intelligence and the Science of Human Behavior
by: Neuman, W. Russell, et al.
Published: (2026)
by: Neuman, W. Russell, et al.
Published: (2026)
On the Inevitability of Left-Leaning Political Bias in Aligned Language Models
by: Hagendorff, Thilo
Published: (2025)
by: Hagendorff, Thilo
Published: (2025)
The Tragedy of Productivity: A Unified Framework for Diagnosing Coordination Failures in Labor Markets and AI Governance
by: Dasdan, Ali
Published: (2025)
by: Dasdan, Ali
Published: (2025)
The Human Condition as Reflected in Contemporary Large Language Models
by: Neuman, W. Russell
Published: (2026)
by: Neuman, W. Russell
Published: (2026)
Hidden Persuaders: LLMs' Political Leaning and Their Influence on Voters
by: Potter, Yujin, et al.
Published: (2024)
by: Potter, Yujin, et al.
Published: (2024)
Political Leaning Inference through Plurinational Scenarios
by: de Landa, Joseba Fernandez, et al.
Published: (2024)
by: de Landa, Joseba Fernandez, et al.
Published: (2024)
How Gender Interacts with Political Values: A Case Study on Czech BERT Models
by: Ali, Adnan Al, et al.
Published: (2024)
by: Ali, Adnan Al, et al.
Published: (2024)
Benchmarking LLMs for Political Science: A United Nations Perspective
by: Liang, Yueqing, et al.
Published: (2025)
by: Liang, Yueqing, et al.
Published: (2025)
Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models
by: Faulborn, Mats, et al.
Published: (2025)
by: Faulborn, Mats, et al.
Published: (2025)
The Political Preferences of LLMs
by: Rozado, David
Published: (2024)
by: Rozado, David
Published: (2024)
BeliefShift: Benchmarking Temporal Belief Consistency and Opinion Drift in LLM Agents
by: Myakala, Praveen Kumar, et al.
Published: (2026)
by: Myakala, Praveen Kumar, et al.
Published: (2026)
Survival at Any Cost? LLMs and the Choice Between Self-Preservation and Human Harm
by: Mohamadi, Alireza, et al.
Published: (2025)
by: Mohamadi, Alireza, et al.
Published: (2025)
MAATS: A Multi-Agent Automated Translation System Based on MQM Evaluation
by: Wang, George, et al.
Published: (2025)
by: Wang, George, et al.
Published: (2025)
Six Llamas: Comparative Religious Ethics Through LoRA-Adapted Language Models
by: Coleman, Chad, et al.
Published: (2026)
by: Coleman, Chad, et al.
Published: (2026)
Text Is Not All You Need: Multimodal Prompting Helps LLMs Understand Humor
by: Baluja, Ashwin
Published: (2024)
by: Baluja, Ashwin
Published: (2024)
Evaluating Large Language Models Against Human Annotators in Latent Content Analysis: Sentiment, Political Leaning, Emotional Intensity, and Sarcasm
by: Bojic, Ljubisa, et al.
Published: (2025)
by: Bojic, Ljubisa, et al.
Published: (2025)
Perceived Political Bias in LLMs Reduces Persuasive Abilities
by: DiGiuseppe, Matthew, et al.
Published: (2026)
by: DiGiuseppe, Matthew, et al.
Published: (2026)
Passing the Turing Test in Political Discourse: Fine-Tuning LLMs to Mimic Polarized Social Media Comments
by: Pazzaglia, ., et al.
Published: (2025)
by: Pazzaglia, ., et al.
Published: (2025)
What Is The Political Content in LLMs' Pre- and Post-Training Data?
by: Ceron, Tanise, et al.
Published: (2025)
by: Ceron, Tanise, et al.
Published: (2025)
Fact-checking with Generative AI: A Systematic Cross-Topic Examination of LLMs Capacity to Detect Veracity of Political Information
by: Kuznetsova, Elizaveta, et al.
Published: (2025)
by: Kuznetsova, Elizaveta, et al.
Published: (2025)
"What's Up, Doc?": Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets
by: Paruchuri, Akshay, et al.
Published: (2025)
by: Paruchuri, Akshay, et al.
Published: (2025)
Comparative analysis of privacy-preserving open-source LLMs regarding extraction of diagnostic information from clinical CMR imaging reports
by: Amirrajab, Sina, et al.
Published: (2025)
by: Amirrajab, Sina, et al.
Published: (2025)
Translate With Care: Addressing Gender Bias, Neutrality, and Reasoning in Large Language Model Translations
by: Zahraei, Pardis Sadat, et al.
Published: (2025)
by: Zahraei, Pardis Sadat, et al.
Published: (2025)
LLMs Can Infer Political Alignment from Online Conversations
by: Lee, Byunghwee, et al.
Published: (2026)
by: Lee, Byunghwee, et al.
Published: (2026)
Analyzing the Performance of ChatGPT in Cardiology and Vascular Pathologies
by: Hariri, Walid
Published: (2023)
by: Hariri, Walid
Published: (2023)
SteLLA: A Structured Grading System Using LLMs with RAG
by: Qiu, Hefei, et al.
Published: (2025)
by: Qiu, Hefei, et al.
Published: (2025)
Exploring the Potential of the Large Language Models (LLMs) in Identifying Misleading News Headlines
by: Rony, Md Main Uddin, et al.
Published: (2024)
by: Rony, Md Main Uddin, et al.
Published: (2024)
The 2020s Political Economy of Machine Translation
by: Weber, Steven
Published: (2020)
by: Weber, Steven
Published: (2020)
Analyzing the Safety of Japanese Large Language Models in Stereotype-Triggering Prompts
by: Nakanishi, Akito, et al.
Published: (2025)
by: Nakanishi, Akito, et al.
Published: (2025)
An AI-Powered Framework for Analyzing Collective Idea Evolution in Deliberative Assemblies
by: Poole-Dayan, Elinor, et al.
Published: (2025)
by: Poole-Dayan, Elinor, et al.
Published: (2025)
Metaphor Is Not All Attention Needs
by: Sorokoletova, Olga, et al.
Published: (2026)
by: Sorokoletova, Olga, et al.
Published: (2026)
The Statistical Signature of LLMs
by: Hadad, Ortal, et al.
Published: (2026)
by: Hadad, Ortal, et al.
Published: (2026)
Minding the Politeness Gap in Cross-cultural Communication
by: Machino, Yuka, et al.
Published: (2025)
by: Machino, Yuka, et al.
Published: (2025)
RDBE: Reasoning Distillation-Based Evaluation Enhances Automatic Essay Scoring
by: Mohammadkhani, Ali Ghiasvand
Published: (2024)
by: Mohammadkhani, Ali Ghiasvand
Published: (2024)
Who and What? Using Linguistic Features and Annotator Characteristics to Analyze Annotation Variation
by: Maurer, Maximilian, et al.
Published: (2026)
by: Maurer, Maximilian, et al.
Published: (2026)
Better Together: Quantifying the Benefits of AI-Assisted Recruitment
by: Aka, Ada, et al.
Published: (2025)
by: Aka, Ada, et al.
Published: (2025)
When People are Floods: Analyzing Dehumanizing Metaphors in Immigration Discourse with Large Language Models
by: Mendelsohn, Julia, et al.
Published: (2025)
by: Mendelsohn, Julia, et al.
Published: (2025)
Similar Items
-
The Convergent Ethics of AI? Analyzing Moral Foundation Priorities in Large Language Models with a Multi-Framework Approach
by: Coleman, Chad, et al.
Published: (2025) -
Analyzing the Ethical Logic of Six Large Language Models
by: Neuman, W. Russell, et al.
Published: (2025) -
Auditing the Ethical Logic of Generative AI Models
by: Neuman, W. Russell, et al.
Published: (2025) -
The Third Ambition: Artificial Intelligence and the Science of Human Behavior
by: Neuman, W. Russell, et al.
Published: (2026) -
On the Inevitability of Left-Leaning Political Bias in Aligned Language Models
by: Hagendorff, Thilo
Published: (2025)