Cover Image

Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ng, Lynnette Hui Xian, Cruickshank, Iain, Lee, Roy Ka-Wei
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification
by: Cruickshank, Iain J., et al.
Published: (2023)

DIVERSE: A Dataset of YouTube Video Comment Stances with a Data Programming Model
by: Cruickshank, Iain J., et al.
Published: (2024)

Simulating Misinformation Vulnerabilities With Agent Personas
by: Farr, David, et al.
Published: (2025)

Who Speaks Matters: Analysing the Influence of the Speaker's Ethnicity on Hate Classification
by: Malik, Ananya, et al.
Published: (2024)

Chain of Stance: Stance Detection with Large Language Models
by: Ma, Junxia, et al.
Published: (2024)

MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation
by: Wang, Han, et al.
Published: (2024)

Debiasing Large Language Models in Thai Political Stance Detection via Counterfactual Calibration
by: Sermsri, Kasidit, et al.
Published: (2025)

Assessing Political Bias in Large Language Models
by: Rettenberger, Luca, et al.
Published: (2024)

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

Whose Side Are You On? Investigating the Political Stance of Large Language Models
by: Pit, Pagnarasmey, et al.
Published: (2024)

Measuring Political Bias in Large Language Models: What Is Said and How It Is Said
by: Bang, Yejin, et al.
Published: (2024)

SEAHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Southeast Asia
by: Ng, Ri Chi, et al.
Published: (2026)

Understanding Fairness-Accuracy Trade-offs in Machine Learning Models: Does Promoting Fairness Undermine Performance?
by: Liu, Junhua, et al.
Published: (2024)

On the Relationship between Truth and Political Bias in Language Models
by: Fulay, Suyash, et al.
Published: (2024)

InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification
by: Hu, Yujia, et al.
Published: (2024)

Beyond I'm Sorry, I Can't: Dissecting Large Language Model Refusal
by: Prakash, Nirmalendu, et al.
Published: (2025)

Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models
by: Lu, Zhenyi, et al.
Published: (2024)

Towards Objective and Unbiased Decision Assessments with LLM-Enhanced Hierarchical Attention Networks
by: Liu, Junhua, et al.
Published: (2024)

Language Independent Stance Detection: Social Interaction-based Embeddings and Large Language Models
by: de Landa, Joseba Fernandez, et al.
Published: (2022)

MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Models
by: Wang, Lionel Z., et al.
Published: (2024)

Examining Alignment of Large Language Models through Representative Heuristics: The Case of Political Stereotypes
by: Jeoung, Sullam, et al.
Published: (2025)

Collaborative Stance Detection via Small-Large Language Model Consistency Verification
by: Yan, Yu, et al.
Published: (2025)

HateXScore: A Metric Suite for Evaluating Reasoning Quality in Hate Speech Explanations
by: Hu, Yujia, et al.
Published: (2026)

Mapping and Influencing the Political Ideology of Large Language Models using Synthetic Personas
by: Bernardelle, Pietro, et al.
Published: (2024)

Benchmarking Gender and Political Bias in Large Language Models
by: Yang, Jinrui, et al.
Published: (2025)

Political-LLM: Large Language Models in Political Science
by: Li, Lincan, et al.
Published: (2024)

Human Bias in the Face of AI: Examining Human Judgment Against Text Labeled as AI Generated
by: Zhu, Tiffany, et al.
Published: (2024)

Exploring Vision Language Models for Multimodal and Multilingual Stance Detection
by: Vasilakes, Jake, et al.
Published: (2025)

Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop
by: Wang, Yaxuan, et al.
Published: (2026)

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

Analyzing Political Bias in LLMs via Target-Oriented Sentiment Classification
by: Elbouanani, Akram, et al.
Published: (2025)

Regional Bias in Large Language Models
by: Gopinadh, M P V S, et al.
Published: (2026)

The Sword, Shield, and Achilles' Heel: Characterizing the Linguistic Inductive Bias of Large Language Models for Spatial Reasoning in Navigation Planning
by: Zhang, Xudong, et al.
Published: (2026)

Measuring Political Stance and Consistency in Large Language Models
by: Alali, Salah Feras, et al.
Published: (2026)

A Benchmark for Cross-Domain Argumentative Stance Classification on Social Media
by: Yuan, Jiaqing, et al.
Published: (2024)

Diagnosing Retrieval Bias Under Multiple In-Context Knowledge Updates in Large Language Models
by: Qiao, Boyu, et al.
Published: (2026)

Interpreting Bias in Large Language Models: A Feature-Based Approach
by: Prakash, Nirmalendu, et al.
Published: (2024)

A Careful Examination of Large Language Model Performance on Grade School Arithmetic
by: Zhang, Hugh, et al.
Published: (2024)

Humor in Pixels: Benchmarking Large Multimodal Models Understanding of Online Comics
by: Ryan, Yuriel, et al.
Published: (2025)

Do Influence Functions Work on Large Language Models?
by: Li, Zhe, et al.
Published: (2024)