Ideology

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8 papers in the last 28 days · 0.1% of indexed attention

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Period ending 2026-09-21

3 new papers

A weekly snapshot of new work published in Ideology.

Period ending 2026-09-14

5 new papers

A weekly snapshot of new work published in Ideology.

53 papers

Latest in Ideology

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Geopolitical Divisions Across Languages in Large Language Models
Sep 17, 2026Maxim ChupilkinGeopolitical Sphere Ideology
Digital Twins for Opinion Dynamics: A Generative LLM Framework for Social Networks
Sep 17, 2026Omran Berjawi, Giuseppe Fenza, Rida Khatoun +1Opinion Dynamics Social Media
Diverse Minds, Divided Networks? Personality Composition, Polarization, and Collective Intelligence in LLM-Based Social Simulations
Sep 14, 2026Raad Bin TareafPersonality Ideology
Epistemic orientation predicts legislative effectiveness among members of the US Congress
Sep 11, 2026Segun Aroyehun, Stephan Lewandowsky, David GarciaParliamentary Discourse Political Discourse
How neighbourhood ideology shapes misinformation belief in densely tied social networks
Sep 9, 2026Soroush Karimi, Marcos Oliveira, Diogo PachecoSocial Influence Misinformation
When Does Defendant Statement Matter? A Study of Bias and Persuasion in LLM-Simulated Jurors
Sep 9, 2026Cho-Ying WuLlm-As-A-Judge Human Judgment
Navigating the digital spectrum: Assessing political bias, stability, and downstream fairness in Large Language Models
Sep 8, 2026Luka Debevc, Nishan Chatterjee, Antoine Doucet +2Large Language Model Bias Ideology
Beyond Polarization: The Generative Constraint of Chain-of-Thought in Pointwise Reranking
Aug 31, 2026Xiaoyang Chen, Jie Liu, Haijin Liang +5Reranking Scoring
Poli-Bias: Understanding and Measuring Large Language Model Biases in International Political Conflicts
Aug 6, 2026Massi-Nissa Abboud, Aladin Djuhera, Elena Cabrio +1Large Language Model Bias Ideology
When Words Divide: Diachronic Ideological Polarization in Political Discourse on Social Media
Aug 2, 2026Roy Yitzchak, Noa Lavie, Ella RabinovichIdeology Political Discourse
Auditing Alignment Controllability in LLMs via Political Axes
Jul 26, 2026Bartol Bućan, Nikola Sočec, Sarah Isufi +5Large Language Model Bias Ideology
Grokipedia vs Wikipedia: An LLM-Based Audit of Political Neutrality along Ideologies
Jul 16, 2026Filippos Vlahos, Guillaume Bied, Tijl De BieIdeology Large Language Model Bias
Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents
Jul 16, 2026Dylan Van Mulders, Matthias Bogaert, Dirk Van den PoelCoalition Formation Political Discourse
Innocuous-Seeming Data, Latent Ideology: Ideological Generalisation in Finetuned LLMs
Jul 16, 2026Robert Graham, Edward Stevinson, Yariv BarsheshatLarge Language Model Fine-Tuning Ideology
How Temperature Shapes Ideological Discourse in Retrieval-Augmented Generation?
Jul 13, 2026Elmira Salari, Hazem Amamou, José Victor de Souza +3Retrieval-Augmented Generation Systems Large Language Model Bias
Are LLMs ready for HardChoices?
Jul 13, 2026Dmitry NikolaevIdeology Large Language Model Bias
Polarization Detection: A Hybrid Approach with AfroXLMR-Social and DeBERTa for Low- and High-Resource Settings
Jul 11, 2026Muhammad Abdullahi SaidPolarization Multilingual Language Models
Comparing Architectures for Supervised Political Scaling
Jul 1, 2026Anna Golub, Sebastian PadóPolitical Discourse Ideology
Visualizing "We the People": Bridging the Perception Gap through Pluralistic Data Storytelling
Jun 23, 2026Lisa Schirch, Beth GoldbergPluralistic Alignment Visual Storytelling
Leveraging LaBSE with Progressive Curriculum Learning for Multicultural Polarization
Jun 19, 2026Sachin Sundar, Sandeep Kumar, Mothish MPolarization Low-Resource Languages
Polar: A Benchmark for Evaluating Political Bias in LLMs
Jun 11, 2026Sangho Kim, Heejin Kim, Yoonhee Park +2Ideology Large Language Model Bias
TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMs
Jun 8, 2026Hyeongwon Jang, Gyouk Chu, Changhun Kim +3Clinical Reasoning Triage
The Amplifying Mirror: Locating and Steering the Partisan Direction inside a Large Language Model
Jun 7, 2026Wendy K. TamLarge Language Model Bias Ideology
Friend or Foe? Language as an ideological switch in open-weight LLMs under Russian disinformation stress
Jun 7, 2026Anna Małgorzata Kamińska, Tetiana KlyninaRussian Ideology
Does Topic Sentiment Cause Perceived Ideology? Comparing Human and LLM Annotations in Political News Articles
Jun 4, 2026Upasana ChatterjeeIdeology Political Discourse
Large Language Models are Perplexed by some Political Parties
Jun 4, 2026Paul Lerner, François YvonLarge Language Model Bias Ideology
LLM-Assisted Reranking to Operationalize Nuanced Objectives in Recommender Systems
Jun 1, 2026Amir Ghasemian, Homa Hosseinmardi, Upasana Dutta +1Recommendation Ideology
Unsupervised Identification and Removal of Spurious Correlations During Fine-Tuning
May 26, 2026Ciarán M. Gilligan-Lee, Joseph Egan, Yuchen Zhu +1Finetuning Spurious Correlations
LLM-Ideoplasticity: Measuring Ideological Plasticity in the Political Behavior of LLMs as a Context-Conditioned Distribution
May 26, 2026Adib Sakhawat, Syed Rifat Raiyan, Tahsin Islam +3Ideology Political Discourse
It's the humans, not the data: Geopolitical bias in LLMs originates in post-training, amplified by the language of the prompt
May 22, 2026Stuart Bladon, Brinnae BentLarge Language Model Bias Ideology
Reducing Political Manipulation with Consistency Training
May 21, 2026Long Phan, Devin Kim, Alexander Pan +3Ideology Large Language Model Bias
ArPoMeme: An Annotated Arabic Multimodal Dataset for Political Ideology and Polarization
May 20, 2026Wajdi Zaghouani, Kais Attia, Md. Rafiul Biswas +1Memes Ideology
Diagnosing Korean-Language LLM Political Bias via Census-Grounded Agent Simulation
May 18, 2026Sungwoo KangIdeology Large Language Model Bias
NewsLens: A Multi-Agent Framework for Adversarial News Bias Navigation
May 17, 2026Joy BoseHeadlines Ideology
AI-Mediated Communication Can Steer Collective Opinion
May 15, 2026Stratis Tsirtsis, Kai Rawal, Chris Russell +2Opinion Dynamics Large Language Model Bias
Ideology Prediction of German Political Texts
May 14, 2026Sinclair Schneider, Florian Steuber, Joao A. G. Schneider +1Ideology Political Discourse
Political Plasticity: An Analysis of Ideological Adaptability in Large Language Models
May 8, 2026Bruno Bianchi, Diego Tiscornia, Matias Travizano +1Large Language Model Bias Ideology
Graph-Augmented LLMs for Swiss MP Ideology Prediction
May 6, 2026Yifei Yuan, Luis Salamanca, Sophia Schlosser +1Political Discourse Ideology
mdok-style at SemEval-2026 Task 9: Finetuning LLMs for Multilingual Polarization Detection
May 4, 2026Dominik Macko, Alok Debnath, Jakub SimkoHate Speech Polarization
The Invisible Coalition Partner: How LLMs Vote When Democracy Gets Concrete
May 3, 2026Joel BarmettlerIdeology Large Language Model Decision-Making
Can AI Debias the News? LLM Interventions Improve Cross-Partisan Receptivity but LLMs Overestimate Their Own Effectiveness
May 1, 2026Faisal Feroz, Jonas R. KunstLarge Language Model Bias Ideology
ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networks
May 1, 2026Ta Thanh Thuy, Jiaqi Zhu, Xuan Liu +6Discourse Ideology
Language Ideologies in a Multilingual Society: An LLM-based Analysis of Luxembourgish News Comments
Apr 30, 2026Emilia Milano, Alistair Plum, Yves Scherrer +1Multilingual Large Language Models Linguistics
Political Bias Audits of LLMs Capture Sycophancy to the Inferred Auditor
Apr 30, 2026Petter Törnberg, Michelle SchimmelLarge Language Model Bias Ideology
A Multi-Dimensional Audit of Politically Aligned Large Language Models
Apr 27, 2026Lisa Korver, Mohamed Mostagir, Sherief RedaLarge Language Model Bias Large Language Model Alignment
MKJ at SemEval-2026 Task 9: A Comparative Study of Generalist, Specialist, and Ensemble Strategies for Multilingual Polarization
Apr 23, 2026Maziar Kianimoghadam JouneghaniMultilingual Language Models Multilingual
Ideological Bias in LLMs' Economic Causal Reasoning
Apr 23, 2026Donggyu Lee, Hyeok Yun, Jungwon Kim +4Large Language Model Bias Ideology
When Bigger Isn't Better: A Comprehensive Fairness Evaluation of Political Bias in Multi-News Summarisation
Apr 23, 2026Nannan Huang, Iffat Maab, Junichi YamagishiLarge Language Model Bias Ideology
Opinion polarization from compression-based decision making where agents optimize local complexity and global simplicity
Apr 20, 2026Alina Dubovskaya, David J. P. O'Sullivan, Michael QuayleAgent-Based Model Collective Behaviors
Mapping Election Toxicity on Social Media across Issue, Ideology, and Psychosocial Dimensions
Apr 18, 2026Lei Cao, Wen Zeng, Xinyue Wu +2Ideology Harmful Content
The Language You Ask In: Language-Conditioned Ideological Divergence in LLM Analysis of Contested Political Documents
Jan 17, 2026Oleg SmirnovLarge Language Model Bias Ideology
What Is The Political Content in LLMs' Pre- and Post-Training Data?
Sep 26, 2025Tanise Ceron, Dmitry Nikolaev, Dominik Stammbach +1Ideology Large Language Model Bias
Political Ideology Shifts in Large Language Models
Aug 22, 2025Pietro Bernardelle, Stefano Civelli, Leon Fröhling +3Ideology Large Language Model Bias

Sep 17, 2026 · cs.AIJ/K move · Enter open · S save

Geopolitical Divisions Across Languages in Large Language Models

Maxim Chupilkin

Department of Politics and International Relations, University of Oxford, Oxford, UK

People increasingly turn to AI chatbots for news and explanations of world events. But do they receive the same political answers when they ask in different languages? Here we show that the language of a question can change how the same AI systems assess the war in Ukraine. We ask GPT, Claude and Gemini to evaluate twenty statements about the war in 112 languages, collecting 67,200 responses. The balance between Russia-leaning and Ukraine-leaning responses differs across languages. When we group responses by countries' official languages, they follow a pattern resembling worldwide political divisions: relatively more Russia-leaning answers correspond to more favourable public views of Russia, less support for Ukraine in United Nations votes, and less aid to Ukraine. The broad pattern recurs across all three models and remains when individual statement pairs are removed. Our findings suggest a possible route through which information warfare may shape the text used to train AI models, which may in turn spread geopolitical biases.

Geopolitical Sphere Ideology Political Discourse Large Language Model Bias English Ukrainian Chatbots

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