Cover Image

Perceived Political Bias in LLMs Reduces Persuasive Abilities

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	DiGiuseppe, Matthew, Robison, Joshua
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Are LLMs (Really) Ideological? An IRT-based Analysis and Alignment Tool for Perceived Socio-Economic Bias in LLMs
by: Wachter, Jasmin, et al.
Published: (2025)

The Levers of Political Persuasion with Conversational AI
by: Hackenburg, Kobi, et al.
Published: (2025)

The Political Preferences of LLMs
by: Rozado, David
Published: (2024)

Commercial Persuasion in AI-Mediated Conversations
by: Salvi, Francesco, et al.
Published: (2026)

ZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities
by: Dong, Wenhan, et al.
Published: (2025)

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race
by: Sun, Lihao, et al.
Published: (2025)

Different Bias Under Different Criteria: Assessing Bias in LLMs with a Fact-Based Approach
by: Ko, Changgeon, et al.
Published: (2024)

EtiCor++: Towards Understanding Etiquettical Bias in LLMs
by: Dwivedi, Ashutosh, et al.
Published: (2025)

Must Read: A Comprehensive Survey of Computational Persuasion
by: Bozdag, Nimet Beyza, et al.
Published: (2025)

Widespread Gender and Pronoun Bias in Moral Judgments Across LLMs
by: Fernandes, Gustavo Lúcius, et al.
Published: (2026)

Mitigating Gender Bias via Fostering Exploratory Thinking in LLMs
by: Wei, Kangda, et al.
Published: (2025)

What Is The Political Content in LLMs' Pre- and Post-Training Data?
by: Ceron, Tanise, et al.
Published: (2025)

Political Alignment in Large Language Models: A Multidimensional Audit of Psychometric Identity and Behavioral Bias
by: Sakhawat, Adib, et al.
Published: (2026)

The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation
by: Xu, Rongwu, et al.
Published: (2023)

A Cross-Domain Study of the Use of Persuasion Techniques in Online Disinformation
by: Leite, João A., et al.
Published: (2024)

Walking in Others' Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias
by: Xu, Rongwu, et al.
Published: (2024)

Towards Detecting Persuasion on Social Media: From Model Development to Insights on Persuasion Strategies
by: Meguellati, Elyas, et al.
Published: (2025)

Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs)
by: Neumann, Anna, et al.
Published: (2025)

How Persuasive Could LLMs Be? A First Study Combining Linguistic-Rhetorical Analysis and User Experiments
by: Raffini, Daniel, et al.
Published: (2025)

Gender Bias in LLMs: Preliminary Evidence from Shared Parenting Scenario in Czech Family Law
by: Harasta, Jakub, et al.
Published: (2026)

Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge
by: Koutcheme, Charles, et al.
Published: (2024)

Automated Item Neutralization for Non-Cognitive Scales: A Large Language Model Approach to Reducing Social-Desirability Bias
by: Wu, Sirui, et al.
Published: (2025)

I Want to Break Free! Persuasion and Anti-Social Behavior of LLMs in Multi-Agent Settings with Social Hierarchy
by: Campedelli, Gian Maria, et al.
Published: (2024)

Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models
by: Shin, Jisu, et al.
Published: (2024)

Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis
by: Jenny, David F., et al.
Published: (2023)

The simulation of judgment in LLMs
by: Loru, Edoardo, et al.
Published: (2025)

"Not in My Backyard": LLMs Uncover Online and Offline Social Biases Against Homelessness
by: Karr Jr., Jonathan A., et al.
Published: (2025)

A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions
by: Ranjan, Rajesh, et al.
Published: (2024)

Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors
by: Kochmar, Ekaterina, et al.
Published: (2025)

No Free Lunch in Language Model Bias Mitigation? Targeted Bias Reduction Can Exacerbate Unmitigated LLM Biases
by: Chand, Shireen, et al.
Published: (2025)

Benchmarking Political Persuasion Risks Across Frontier Large Language Models
by: Chen, Zhongren, et al.
Published: (2026)

Social Bias in Popular Question-Answering Benchmarks
by: Kraft, Angelie, et al.
Published: (2025)

A Cross-Cultural Assessment of Human Ability to Detect LLM-Generated Fake News about South Africa
by: Schlippe, Tim, et al.
Published: (2025)

Cross-Language Bias Examination in Large Language Models
by: Liang, Yuxuan, et al.
Published: (2025)

The Polite Liar: Epistemic Pathology in Language Models
by: DeVilling, Bentley
Published: (2025)

The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs
by: Kraft, Angelie, et al.
Published: (2022)

AccessEval: Benchmarking Disability Bias in Large Language Models
by: Panda, Srikant, et al.
Published: (2025)

Artificial Intelligence Bias on English Language Learners in Automatic Scoring
by: Guo, Shuchen, et al.
Published: (2025)

Gender Bias in Machine Translation and The Era of Large Language Models
by: Vanmassenhove, Eva
Published: (2024)

Mechanistic Interpretability of Socio-Political Frames in Language Models
by: Asghari, Hadi, et al.
Published: (2025)