Cover Image

When Neutral Summaries are not that Neutral: Quantifying Political Neutrality in LLM-Generated News Summaries

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vijay, Supriti, Priyanshu, Aman, KhudaBukhsh, Ashique R.
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Silent Curriculum: How Does LLM Monoculture Shape Educational Content and Its Accessibility?
by: Priyanshu, Aman, et al.
Published: (2024)

Gender Representation and Bias in Indian Civil Service Mock Interviews
by: Banerjee, Somonnoy, et al.
Published: (2024)

Down the Toxicity Rabbit Hole: A Novel Framework to Bias Audit Large Language Models
by: Dutta, Arka, et al.
Published: (2023)

Hope vs. Hate: Understanding User Interactions with LGBTQ+ News Content in Mainstream US News Media through the Lens of Hope Speech
by: Pofcher, Jonathan, et al.
Published: (2025)

Community Needs and Assets: A Computational Analysis of Community Conversations
by: Chowdhury, Md Towhidul Absar, et al.
Published: (2024)

FRACTURED-SORRY-Bench: Framework for Revealing Attacks in Conversational Turns Undermining Refusal Efficacy and Defenses over SORRY-Bench (Automated Multi-shot Jailbreaks)
by: Priyanshu, Aman, et al.
Published: (2024)

Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response
by: Chowdhury, Md Towhidul Absar, et al.
Published: (2024)

What About the Scene with the Hitler Reference? HAUNT: A Framework to Probe LLMs' Self-consistency Via Adversarial Nudge
by: Dutta, Arka, et al.
Published: (2025)

Neutralizing the Narrative: AI-Powered Debiasing of Online News Articles
by: Kuo, Chen Wei, et al.
Published: (2025)

Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive
by: Weerasooriya, Tharindu Cyril, et al.
Published: (2023)

Investigating Vaccine Buyer's Remorse: Post-Vaccination Decision Regret in COVID-19 Social Media Using Politically Diverse Human Annotation
by: Stanley, Miles, et al.
Published: (2026)

Navigating the Rabbit Hole: Emergent Biases in LLM-Generated Attack Narratives Targeting Mental Health Groups
by: Magu, Rijul, et al.
Published: (2025)

Neutral Prompts, Non-Neutral People: Quantifying Gender and Skin-Tone Bias in Gemini Flash 2.5 Image and GPT Image 1.5
by: Balestri, Roberto
Published: (2026)

Mapping Violence: Developing an Extensive Framework to Build a Bangla Sectarian Expression Dataset from Social Media Interactions
by: Tasnim, Nazia, et al.
Published: (2024)

Translate With Care: Addressing Gender Bias, Neutrality, and Reasoning in Large Language Model Translations
by: Zahraei, Pardis Sadat, et al.
Published: (2025)

Multimodal Political Bias Identification and Neutralization
by: Bernard, Cedric, et al.
Published: (2025)

LLM or Human? Perceptions of Trust and Information Quality in Research Summaries
by: Akpinar, Nil-Jana, et al.
Published: (2026)

Seeing Like an AI: How LLMs Apply (and Misapply) Wikipedia Neutrality Norms
by: Ashkinaze, Joshua, et al.
Published: (2024)

Political Neutrality in AI Is Impossible- But Here Is How to Approximate It
by: Fisher, Jillian, et al.
Published: (2025)

AI Governance and Accountability: An Analysis of Anthropic's Claude
by: Priyanshu, Aman, et al.
Published: (2024)

Think Before You Retrieve: Learning Test-Time Adaptive Search with Small Language Models
by: Vijay, Supriti, et al.
Published: (2025)

The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action
by: Weerts, Hilde, et al.
Published: (2024)

Stylistic Evolution and LLM Neutrality in Singlish Language
by: Foo, Linus Tze En, et al.
Published: (2026)

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

Political Neutrality as Balanced Approval: A Large-Scale Human Evaluation of AI Responses
by: Stray, Jonathan, et al.
Published: (2026)

Neutralizing Bias in LLM Reasoning using Entailment Graphs
by: Cheng, Liang, et al.
Published: (2025)

Achieving Carbon Neutrality for I/O Devices
by: Yu, Botao, et al.
Published: (2024)

Prediction Laundering: The Illusion of Neutrality, Transparency, and Governance in Polymarket
by: Rohanifar, Yasaman, et al.
Published: (2026)

On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlook
by: Bucur, Ana-Maria, et al.
Published: (2024)

Datasets for Depression Modeling in Social Media: An Overview
by: Bucur, Ana-Maria, et al.
Published: (2025)

For Generated Text, Is NLI-Neutral Text the Best Text?
by: Mersinias, Michail, et al.
Published: (2023)

Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring
by: Nghiem, Huy, et al.
Published: (2026)

ARTICLE: Annotator Reliability Through In-Context Learning
by: Dutta, Sujan, et al.
Published: (2024)

Fair Representation in Parliamentary Summaries: Measuring and Mitigating Inclusion Bias
by: Cunningham, Eoghan, et al.
Published: (2025)

Including frameworks of public health ethics in computational modelling of infectious disease interventions
by: Zarebski, Alexander E., et al.
Published: (2025)

It's Difficult to be Neutral -- Human and LLM-based Sentiment Annotation of Patient Comments
by: Mæhlum, Petter, et al.
Published: (2024)

An LLM-as-a-judge Approach for Scalable Gender-Neutral Translation Evaluation
by: Piergentili, Andrea, et al.
Published: (2025)

Gender-Neutral Machine Translation Strategies in Practice
by: Dawkins, Hillary, et al.
Published: (2025)

Vectors Are Not Neutral: Sensitive-Information Inference from Exported LLM Representations in Summarization
by: Liu, Weixin, et al.
Published: (2026)

Reading with Intent -- Neutralizing Intent
by: Reichman, Benjamin, et al.
Published: (2025)