Cover Image

Argumentative Experience: Reducing Confirmation Bias on Controversial Issues through LLM-Generated Multi-Persona Debates

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shi, Li, Liu, Houjiang, Wong, Yian, Mujumdar, Utkarsh, Zhang, Dan, Gwizdka, Jacek, Lease, Matthew
Format:	Preprint
Published:	2024
Subjects:	Human-Computer Interaction Computers and Society Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploring Multidimensional Checkworthiness: Designing AI-assisted Claim Prioritization for Human Fact-checkers
by: Liu, Houjiang, et al.
Published: (2024)

A Versatile Dataset of Mouse and Eye Movements on Search Engine Results Pages
by: Latifzadeh, Kayhan, et al.
Published: (2025)

Rhetorical XAI: Explaining AI's Benefits as well as its Use via Rhetorical Design
by: Liu, Houjiang, et al.
Published: (2025)

How Researchers Navigate Accountability, Transparency, and Trust When Using AI Tools in Early-Stage Research: A Think-Aloud Study
by: Gautam, Sanjana, et al.
Published: (2026)

Who Owns Creativity and Who Does the Work? Trade-offs in LLM-Supported Research Ideation
by: Liu, Houjiang, et al.
Published: (2026)

CourtNav: Voice-Guided, Anchor-Accurate Navigation of Long Legal Documents in Courtrooms
by: Khadloya, Sai, et al.
Published: (2025)

Multi-TAP: Multi-criteria Target Adaptive Persona Modeling for Cross-Domain Recommendation
by: Kang, Daehee, et al.
Published: (2026)

Cognitively Biased Users Interacting with Algorithmically Biased Results in Whole-Session Search on Debated Topics
by: Wang, Ben, et al.
Published: (2024)

Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational Search
by: Ji, Kaixin, et al.
Published: (2024)

DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent
by: Chen, Chuer, et al.
Published: (2025)

Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI
by: Liu, Houjiang, et al.
Published: (2023)

Generative AI Search Engines as Arbiters of Public Knowledge: An Audit of Bias and Authority
by: Li, Alice, et al.
Published: (2024)

Leveraging Recommender Systems to Reduce Content Gaps on Peer Production Platforms
by: Houtti, Mo, et al.
Published: (2023)

Artful Path to Healing: Using Machine Learning for Visual Art Recommendation to Prevent and Reduce Post-Intensive Care
by: Yilma, Bereket A., et al.
Published: (2024)

Comparing Traditional and LLM-based Search for Image Geolocation
by: Wazzan, Albatool, et al.
Published: (2024)

Leveraging Multimodal LLM for Inspirational User Interface Search
by: Park, Seokhyeon, et al.
Published: (2025)

Towards a Signal Detection Based Measure for Assessing Information Quality of Explainable Recommender Systems
by: Son, Yeonbin, et al.
Published: (2025)

Dialect vs Demographics: Quantifying LLM Bias from Implicit Linguistic Signals vs. Explicit User Profiles
by: Haq, Irti, et al.
Published: (2026)

OwlerLite: Scope- and Freshness-Aware Web Retrieval for LLM Assistants
by: Zerhoudi, Saber, et al.
Published: (2026)

SymbioticRAG: Enhancing Document Intelligence Through Human-LLM Symbiotic Collaboration
by: Sun, Qiang, et al.
Published: (2025)

Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search Clarifications
by: Tavakoli, Leila, et al.
Published: (2025)

BloomIntent: Automating Search Evaluation with LLM-Generated Fine-Grained User Intents
by: Choi, Yoonseo, et al.
Published: (2025)

ChartifyText: Automated Chart Generation from Data-Involved Texts via LLM
by: Zhang, Songheng, et al.
Published: (2024)

Echoes in the Loop: Diagnosing Risks in LLM-Powered Recommender Systems under Feedback Loops
by: Park, Donguk, et al.
Published: (2026)

LLM Confidence Evaluation Measures in Zero-Shot CSS Classification
by: Farr, David, et al.
Published: (2024)

Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking
by: Roitero, Kevin, et al.
Published: (2025)

Verify as You Go: An LLM-Powered Browser Extension for Fake News Detection
by: Sallami, Dorsaf, et al.
Published: (2026)

InterDeepResearch: Enabling Human-Agent Collaborative Information Seeking through Interactive Deep Research
by: Pan, Bo, et al.
Published: (2026)

Evolving Paradigms in Task-Based Search and Learning: A Comparative Analysis of Traditional Search Engine with LLM-Enhanced Conversational Search System
by: Guan, Zhitong, et al.
Published: (2025)

Balancing Domestic and Global Perspectives: Evaluating Dual-Calibration and LLM-Generated Nudges for Diverse News Recommendation
by: Sun, Ruixuan, et al.
Published: (2026)

Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware Fairness
by: Kheya, Tahsin Alamgir, et al.
Published: (2025)

Confirmation Bias as a Cognitive Resource in LLM-Supported Deliberation
by: de Jong, Sander, et al.
Published: (2025)

A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research
by: Roy, Falguni, et al.
Published: (2024)

Unequal Opportunities: Examining the Bias in Geographical Recommendations by Large Language Models
by: Dudy, Shiran, et al.
Published: (2025)

Predicting Quality of Video Gaming Experience Using Global-Scale Telemetry Data and Federated Learning
by: Zhang, Zhongyang, et al.
Published: (2024)

Interactions with Generative Information Retrieval Systems
by: Aliannejadi, Mohammad, et al.
Published: (2024)

Exploring Augmentation and Cognitive Strategies for AI based Synthetic Personae
by: Gonzalez, Rafael Arias, et al.
Published: (2024)

BIRD: A Museum Open Dataset Combining Behavior Patterns and Identity Types to Better Model Visitors' Experience
by: Worm, Alexanne, et al.
Published: (2025)

Human-Computer Interaction as a basis for assessing Geographic Information Retrieval Systems.
by: Manuel Enrique Puebla Martínez
Published: (2018)

From SERPs to Sound: How Search Engine Result Pages and AI-generated Podcasts Interact to Influence User Attitudes on Controversial Topics
by: Wang, Junjie, et al.
Published: (2026)