Cover Image

Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Xiaofei, Deng, Ke, Dann, Michael, Zhang, Xiuzhen
Format:	Preprint
Published:	2024
Subjects:	Social and Information Networks Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

A Decision-Based Heterogenous Graph Attention Network for Multi-Class Fake News Detection
by: Lakzaei, Batool, et al.
Published: (2025)

LOSS-GAT: Label Propagation and One-Class Semi-Supervised Graph Attention Network for Fake News Detection
by: Lakzaei, Batool, et al.
Published: (2024)

Detecting Fake News on Social Media: A Novel Reliability Aware Machine-Crowd Hybrid Intelligence-Based Method
by: Chai, Yidong, et al.
Published: (2024)

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

From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild
by: Zeng, Zhi, et al.
Published: (2026)

The Stepwise Deception: Simulating the Evolution from True News to Fake News with LLM Agents
by: Liu, Yuhan, 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)

MGL2Rank: Learning to Rank the Importance of Nodes in Road Networks Based on Multi-Graph Fusion
by: Xu, Ming, et al.
Published: (2023)

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

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

Mitigating topology biases in Graph Diffusion via Counterfactual Intervention
by: Wang, Wendi, et al.
Published: (2026)

HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection
by: Zhang, Anran, et al.
Published: (2024)

Cross-Domain Fake News Detection on Unseen Domains via LLM-Based Domain-Aware User Modeling
by: Yang, Xuankai, et al.
Published: (2026)

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

Towards Fair Graph Representation Learning in Social Networks
by: Zhang, Guixian, et al.
Published: (2024)

Learning Individual Treatment Effects under Heterogeneous Interference in Networks
by: Zhao, Ziyu, et al.
Published: (2022)

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

Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment
by: Liu, Meng, et al.
Published: (2023)

HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport
by: Liu, Yanbei, et al.
Published: (2025)

Mitigating Cascading Effects in Large Adversarial Graph Environments
by: Cunningham, James D., 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)

Node Classification via Simplicial Interaction with Augmented Maximal Clique Selection
by: Koo, Eunho, et al.
Published: (2025)

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

A Macro- and Micro-Hierarchical Transfer Learning Framework for Cross-Domain Fake News Detection
by: Yang, Xuankai, et al.
Published: (2025)

From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News
by: Liu, Yuhan, et al.
Published: (2024)

Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks
by: Cui, Ziqiang, et al.
Published: (2024)

Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement
by: Zhu, Yinlin, et al.
Published: (2025)

Graph Data Condensation via Self-expressive Graph Structure Reconstruction
by: Liu, Zhanyu, et al.
Published: (2024)

FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training
by: Liu, Jiaxin, et al.
Published: (2025)

Generic Multimodal Spatially Graph Network for Spatially Embedded Network Representation Learning
by: Fan, Xudong, et al.
Published: (2025)

Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
by: Wang, Zehong, et al.
Published: (2024)

DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning
by: Wang, Yifan, et al.
Published: (2024)

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

RAGraph: A General Retrieval-Augmented Graph Learning Framework
by: Jiang, Xinke, et al.
Published: (2024)

CueGCL: Cluster-aware Personalized Self-Training for Unsupervised Graph Contrastive Learning
by: Li, Yuecheng, et al.
Published: (2023)

Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
by: Wang, Shuo, et al.
Published: (2025)

From Aggregation to Selection: User-Validated Distributed Social Recommendation
by: Huang, Jingyuan, et al.
Published: (2025)

Learning Exposure Mapping Functions for Inferring Heterogeneous Peer Effects
by: Adhikari, Shishir, et al.
Published: (2025)

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