arXiv AI July 24, 2026 By Chendi Wang, Liam Cunningham, Tom Yishay, Jieying Chen

Directional Hallucinations: Ideological Drift in News-Grounded LLM Question Answering

arXiv:2607. 20487v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to answer questions about political information, including in election-adjacent information settings where factual errors and ideological distortions are high-stakes.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

arXiv Computation and Language

3d ago

Framing the Narrative: Ideological Mimicry in Large Language Models

arXiv:2609.38256v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to answer questions about politically contentious issues, yet evaluations typically treat a model's...

By Olivia Macmillan-Scott, Michael Jacobs, Nils Metternich, Mirco Musolesi

llms

arXiv AI

Sep 1

How Identity and Opinion Shape Political Sycophancy in LLMs

arXiv:2608.29198v1 Announce Type: new Abstract: As Large Language Models (LLMs) increasingly encourage users to disclose personal profiles for tailored assistance, measuring their political alignment...

By Li-Ni Fu, Chang-Chih Meng, Chien-Hua Chen, Hen-Hsen Huang, I-Chen Wu

llms benchmarks safety

arXiv Computation and Language

Sep 1

Political Ideology Shifts in Large Language Models

arXiv:2508.16013v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly deployed in politically sensitive contexts, raising concerns about their susceptibility to ideologica...

By Pietro Bernardelle, Stefano Civelli, Leon Fr\"ohling, Riccardo Lunardi, Kevin Roitero, Gianluca Demartini

llms safety

arXiv Computation and Language

Sep 22

Auditing Political Alignment in LLM Assistants: Engagement, Stance, and User Identity

arXiv:2609.23039v1 Announce Type: new Abstract: LLM-based AI systems answer political questions for hundreds of millions of people. Current audits measure what they say to an average user, but their...

By Joan C. Timoneda

llms safety

Hugging Face Trending Papers

Jul 26

Auditing Alignment Controllability in LLMs via Political Axes

Political audits of large language models (LLMs) usually reduce each to one point on a political compass. But that resting point barely matters in deployment: a model must land somewhere, and what counts is how far, and in which directions, its answers can be steered.

llms benchmarks safety

arXiv AI

Sep 15

Issue Bias in Generative AI Writing Assistance: Political Issues and LLMs in the Swedish 2026 Election

arXiv:2609.15207v1 Announce Type: new Abstract: Generative AI writing assistants and the Large Language Models (LLMs) that power them are increasingly part of how voters gather information before ele...

By Bastiaan Bruinsma, Annika Fred\'en, Paul R\"ottger, Moa Johansson, Asad Sayeed

llms safety

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Framing the Narrative: Ideological Mimicry in Large Language Models

How Identity and Opinion Shape Political Sycophancy in LLMs

Political Ideology Shifts in Large Language Models

Auditing Political Alignment in LLM Assistants: Engagement, Stance, and User Identity

Auditing Alignment Controllability in LLMs via Political Axes

Issue Bias in Generative AI Writing Assistance: Political Issues and LLMs in the Swedish 2026 Election