"Whose Side Are You On?" Estimating Ideology of Political and News Content Using Large Language Models and Few-shot Demonstration Selection
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Haroon, Muhammad, Wojcieszak, Magdalena, Chhabra, Anshuman |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms
par: Oak, Rajvardhan, et autres
Publié: (2025)
par: Oak, Rajvardhan, et autres
Publié: (2025)
Towards Safer Social Media Platforms: Scalable and Performant Few-Shot Harmful Content Moderation Using Large Language Models
par: Bonagiri, Akash, et autres
Publié: (2025)
par: Bonagiri, Akash, et autres
Publié: (2025)
Incentivizing News Consumption on Social Media Platforms Using Large Language Models and Realistic Bot Accounts
par: Askari, Hadi, et autres
Publié: (2024)
par: Askari, Hadi, et autres
Publié: (2024)
Whose Side Are You On? Investigating the Political Stance of Large Language Models
par: Pit, Pagnarasmey, et autres
Publié: (2024)
par: Pit, Pagnarasmey, et autres
Publié: (2024)
Accuracy and Political Bias of News Source Credibility Ratings by Large Language Models
par: Yang, Kai-Cheng, et autres
Publié: (2023)
par: Yang, Kai-Cheng, et autres
Publié: (2023)
The Language You Ask In: Language-Conditioned Ideological Divergence in LLM Analysis of Contested Political Documents
par: Smirnov, Oleg
Publié: (2026)
par: Smirnov, Oleg
Publié: (2026)
Whose Emotions and Moral Sentiments Do Language Models Reflect?
par: He, Zihao, et autres
Publié: (2024)
par: He, Zihao, et autres
Publié: (2024)
Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities
par: He, Zihao, et autres
Publié: (2024)
par: He, Zihao, et autres
Publié: (2024)
Large Language Models Require Curated Context for Reliable Political Fact-Checking -- Even with Reasoning and Web Search
par: DeVerna, Matthew R., et autres
Publié: (2025)
par: DeVerna, Matthew R., et autres
Publié: (2025)
Polarized Online Discourse on Abortion: Frames and Hostile Expressions among Liberals and Conservatives
par: Rao, Ashwin, et autres
Publié: (2023)
par: Rao, Ashwin, et autres
Publié: (2023)
Probing the Subtle Ideological Manipulation of Large Language Models
par: Paschalides, Demetris, et autres
Publié: (2025)
par: Paschalides, Demetris, et autres
Publié: (2025)
Mapping Election Toxicity on Social Media across Issue, Ideology, and Psychosocial Dimensions
par: Cao, Lei, et autres
Publié: (2026)
par: Cao, Lei, et autres
Publié: (2026)
A Detailed Factor Analysis for the Political Compass Test: Navigating Ideologies of Large Language Models
par: Kamal, Sadia, et autres
Publié: (2025)
par: Kamal, Sadia, et autres
Publié: (2025)
Moderating Illicit Online Image Promotion for Unsafe User-Generated Content Games Using Large Vision-Language Models
par: Guo, Keyan, et autres
Publié: (2024)
par: Guo, Keyan, et autres
Publié: (2024)
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media
par: Jiang, Bohan, et autres
Publié: (2024)
par: Jiang, Bohan, et autres
Publié: (2024)
Across Platforms and Languages: Dutch Influencers and Legal Disclosures on Instagram, YouTube and TikTok
par: Gui, Haoyang, et autres
Publié: (2024)
par: Gui, Haoyang, et autres
Publié: (2024)
Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models
par: Nan, Qiong, et autres
Publié: (2024)
par: Nan, Qiong, et autres
Publié: (2024)
Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures
par: Yuan, Lanqin, et autres
Publié: (2022)
par: Yuan, Lanqin, et autres
Publié: (2022)
How Susceptible are Large Language Models to Ideological Manipulation?
par: Chen, Kai, et autres
Publié: (2024)
par: Chen, Kai, et autres
Publié: (2024)
Can Prompting LLMs Unlock Hate Speech Detection across Languages? A Zero-shot and Few-shot Study
par: Ghorbanpour, Faeze, et autres
Publié: (2025)
par: Ghorbanpour, Faeze, et autres
Publié: (2025)
Signal in the Noise: Decoding the Reality of Airline Service Quality with Large Language Models
par: Dawoud, Ahmed, et autres
Publié: (2026)
par: Dawoud, Ahmed, et autres
Publié: (2026)
Causal Effects of Trigger Words in Social Media Discussions: A Large-Scale Case Study about UK Politics on Reddit
par: Antypas, Dimosthenis, et autres
Publié: (2024)
par: Antypas, Dimosthenis, et autres
Publié: (2024)
Exposure to Content Written by Large Language Models Can Reduce Stigma Around Opioid Use Disorder in Online Communities
par: Mittal, Shravika, et autres
Publié: (2025)
par: Mittal, Shravika, et autres
Publié: (2025)
Scalable Identification and Prioritization of Requisition-Specific Personal Competencies Using Large Language Models
par: Li, Wanxin, et autres
Publié: (2026)
par: Li, Wanxin, et autres
Publié: (2026)
Political Leaning Inference through Plurinational Scenarios
par: de Landa, Joseba Fernandez, et autres
Publié: (2024)
par: de Landa, Joseba Fernandez, et autres
Publié: (2024)
Explainable Few-shot Knowledge Tracing
par: Li, Haoxuan, et autres
Publié: (2024)
par: Li, Haoxuan, et autres
Publié: (2024)
Evaluating AI capabilities in detecting conspiracy theories on YouTube
par: La Rocca, Leonardo, et autres
Publié: (2025)
par: La Rocca, Leonardo, et autres
Publié: (2025)
First is Not Really Better Than Last: Evaluating Layer Choice and Aggregation Strategies in Language Model Data Influence Estimation
par: Vitel, Dmytro, et autres
Publié: (2025)
par: Vitel, Dmytro, et autres
Publié: (2025)
Few-shot Hate Speech Detection Based on the MindSpore Framework
par: Qin, Zhenkai, et autres
Publié: (2025)
par: Qin, Zhenkai, et autres
Publié: (2025)
Reinforcement Learning from Human Feedback: Whose Culture, Whose Values, Whose Perspectives?
par: Barman, Kristian González, et autres
Publié: (2024)
par: Barman, Kristian González, et autres
Publié: (2024)
Uncovering Conspiratorial Narratives within Arabic Online Content
par: Mohdeb, Djamila, et autres
Publié: (2025)
par: Mohdeb, Djamila, et autres
Publié: (2025)
LLMs Can Infer Political Alignment from Online Conversations
par: Lee, Byunghwee, et autres
Publié: (2026)
par: Lee, Byunghwee, et autres
Publié: (2026)
Moderating New Waves of Online Hate with Chain-of-Thought Reasoning in Large Language Models
par: Vishwamitra, Nishant, et autres
Publié: (2023)
par: Vishwamitra, Nishant, et autres
Publié: (2023)
LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation
par: Hu, Beizhe, et autres
Publié: (2025)
par: Hu, Beizhe, et autres
Publié: (2025)
Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities
par: Chu, Minh Duc, et autres
Publié: (2024)
par: Chu, Minh Duc, et autres
Publié: (2024)
Whose Journey Matters? Investigating Identity Biases in Large Language Models (LLMs) for Travel Planning Assistance
par: Ren, Ruiping, et autres
Publié: (2024)
par: Ren, Ruiping, et autres
Publié: (2024)
Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing
par: Askari, Hadi, et autres
Publié: (2024)
par: Askari, Hadi, et autres
Publié: (2024)
Improving Stance Detection by Leveraging Measurement Knowledge from Social Sciences: A Case Study of Dutch Political Tweets and Traditional Gender Role Division
par: Fang, Qixiang, et autres
Publié: (2022)
par: Fang, Qixiang, et autres
Publié: (2022)
Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotators
par: Jo, Claire Wonjeong, et autres
Publié: (2024)
par: Jo, Claire Wonjeong, et autres
Publié: (2024)
Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis
par: Jenny, David F., et autres
Publié: (2023)
par: Jenny, David F., et autres
Publié: (2023)
Documents similaires
-
Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms
par: Oak, Rajvardhan, et autres
Publié: (2025) -
Towards Safer Social Media Platforms: Scalable and Performant Few-Shot Harmful Content Moderation Using Large Language Models
par: Bonagiri, Akash, et autres
Publié: (2025) -
Incentivizing News Consumption on Social Media Platforms Using Large Language Models and Realistic Bot Accounts
par: Askari, Hadi, et autres
Publié: (2024) -
Whose Side Are You On? Investigating the Political Stance of Large Language Models
par: Pit, Pagnarasmey, et autres
Publié: (2024) -
Accuracy and Political Bias of News Source Credibility Ratings by Large Language Models
par: Yang, Kai-Cheng, et autres
Publié: (2023)