Cover Image

From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Yuhan, Chen, Xiuying, Zhang, Xiaoqing, Gao, Xing, Zhang, Ji, Yan, Rui
Format:	Preprint
Published:	2024
Subjects:	Social and Information Networks Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Stepwise Deception: Simulating the Evolution from True News to Fake News with LLM Agents
by: Liu, Yuhan, et al.
Published: (2024)

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News
by: Liu, Yuhan, et al.
Published: (2025)

Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media
by: Zhang, Jiajun, et al.
Published: (2024)

Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness
by: Kim, Junghoon, et al.
Published: (2024)

Exposing and Explaining Fake News On-the-Fly
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

Transferring Structure Knowledge: A New Task to Fake news Detection Towards Cold-Start Propagation
by: Wei, Lingwei, et al.
Published: (2024)

Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection
by: Wang, Wei-Yao, et al.
Published: (2024)

Overstating Attitudes, Ignoring Networks: LLM Biases in Simulating Misinformation Susceptibility
by: Choi, Eun Cheol, et al.
Published: (2026)

A Large-scale Time-aware Agents Simulation for Influencer Selection in Digital Advertising Campaigns
by: Zhang, Xiaoqing, et al.
Published: (2024)

Seeing Through AI's Lens: Enhancing Human Skepticism Towards LLM-Generated Fake News
by: Ayoobi, Navid, et al.
Published: (2024)

Debiasing International Attitudes: LLM Agents for Simulating US-China Perception Changes
by: Sukiennik, Nicholas, et al.
Published: (2025)

An Analytical Emotion Framework of Rumour Threads on Social Media
by: Xing, Rui, et al.
Published: (2025)

Detecting Fake Reviewer Groups in Dynamic Networks: An Adaptive Graph Learning Method
by: Zhang, Jing, et al.
Published: (2026)

Large Language Model Agent for Fake News Detection
by: Li, Xinyi, et al.
Published: (2024)

PropaInsight: Toward Deeper Understanding of Propaganda in Terms of Techniques, Appeals, and Intent
by: Liu, Jiateng, et al.
Published: (2024)

Spectral Analysis of Fake News Propagation
by: Cai, Weibin, et al.
Published: (2026)

SAGraph: A Large-Scale Social Graph Dataset with Comprehensive Context for Influencer Selection in Marketing
by: Zhang, Xiaoqing, et al.
Published: (2024)

When GenAI Meets Fake News: Understanding Image Cascade Dynamics on Reddit
by: Chauhan, Saumya, et al.
Published: (2025)

Unseen Fake News Detection Through Casual Debiasing
by: Gong, Shuzhi, et al.
Published: (2025)

Less is More: Unseen Domain Fake News Detection via Causal Propagation Substructures
by: Gong, Shuzhi, et al.
Published: (2024)

MSynFD: Multi-hop Syntax aware Fake News Detection
by: Xiao, Liang, et al.
Published: (2024)

MCWDST: a Minimum-Cost Weighted Directed Spanning Tree Algorithm for Real-Time Fake News Mitigation in Social Media
by: Truică, Ciprian-Octavian, et al.
Published: (2023)

Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities
by: Wen, Nuan, et al.
Published: (2026)

MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations
by: Liu, Genglin, et al.
Published: (2025)

Disaster Informatics after the COVID-19 Pandemic: Bibliometric and Topic Analysis based on Large-scale Academic Literature
by: Tran, Ngan, et al.
Published: (2025)

Simulating Misinformation Vulnerabilities With Agent Personas
by: Farr, David, et al.
Published: (2025)

VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning
by: Niu, Cheng, et al.
Published: (2024)

Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendations
by: Wu, Xuansheng, et al.
Published: (2023)

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System
by: Zhang, Zeyu, et al.
Published: (2024)

Exploring Content and Social Connections of Fake News with Explainable Text and Graph Learning
by: Lourenço, Vítor N., et al.
Published: (2025)

MPPFND: A Dataset and Analysis of Detecting Fake News with Multi-Platform Propagation
by: Zhao, Congyuan, et al.
Published: (2025)

More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives
by: Zhang, Xiaoqing, et al.
Published: (2025)

Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning
by: Xu, Xiaofei, et al.
Published: (2024)

Decoding Echo Chambers: LLM-Powered Simulations Revealing Polarization in Social Networks
by: Wang, Chenxi, et al.
Published: (2024)

LLMTaxo: Leveraging Large Language Models for Constructing Taxonomy of Factual Claims from Social Media
by: Zhang, Haiqi, et al.
Published: (2025)

AI Approaches to Qualitative and Quantitative News Analytics on NATO Unity
by: Pavlyshenko, Bohdan M.
Published: (2025)

A Novel Method for News Article Event-Based Embedding
by: Ishlach, Koren, et al.
Published: (2024)

Understanding Sarcoidosis Using Large Language Models and Social Media Data
by: Xi, Nan Miles, et al.
Published: (2024)

Can Large Language Models Detect Misinformation in Scientific News Reporting?
by: Cao, Yupeng, et al.
Published: (2024)

Search, Examine and Early-Termination: Fake News Detection with Annotation-Free Evidences
by: Yang, Yuzhou, et al.
Published: (2024)