Exploring Content and Social Connections of Fake News with Explainable Text and Graph Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lourenço, Vítor N., Paes, Aline, Weyde, Tillman
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Social and Information Networks Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

KG-CRAFT: Knowledge Graph-based Contrastive Reasoning with LLMs for Enhancing Automated Fact-checking
di: Lourenço, Vítor N., et al.
Pubblicazione: (2026)

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

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

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

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

Learning Attention-based Representations from Multiple Patterns for Relation Prediction in Knowledge Graphs
di: Lourenço, Vítor, et al.
Pubblicazione: (2022)

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

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

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

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

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

Community Detection on Model Explanation Graphs for Explainable AI
di: Moradi, Ehsan
Pubblicazione: (2025)

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

Analyzing the Evolution of Graphs and Texts
di: Guo, Xingzhi
Pubblicazione: (2024)

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

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

The Influence of Text Variation on User Engagement in Cross-Platform Content Sharing
di: Hu, Yibo, et al.
Pubblicazione: (2025)

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

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

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

SoREX: Towards Self-Explainable Social Recommendation with Relevant Ego-Path Extraction
di: Guo, Hanze, et al.
Pubblicazione: (2025)

Promoting Security and Trust on Social Networks: Explainable Cyberbullying Detection Using Large Language Models in a Stream-Based Machine Learning Framework
di: García-Méndez, Silvia, et al.
Pubblicazione: (2025)

Enhancing Explainability of Knowledge Learning Paths: Causal Knowledge Networks
di: Wei, Yuang, et al.
Pubblicazione: (2024)

MotifGPL: Motif-Enhanced Graph Prototype Learning for Deciphering Urban Social Segregation
di: He, Tengfei, et al.
Pubblicazione: (2024)

LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning
di: Yang, Haoran, et al.
Pubblicazione: (2024)

Cyberbullying Governance on Social Media: A Unified Framework from Content Identification to Intervention
di: Huang, Yiting, et al.
Pubblicazione: (2026)

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

Hierarchical Compression of Text-Rich Graphs via Large Language Models
di: Zhang, Shichang, et al.
Pubblicazione: (2024)

Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and Venmo Platforms
di: Liu, Penghang, et al.
Pubblicazione: (2023)

Graph Integrated Transformers for Community Detection in Social Networks
di: Zahran, Heba, et al.
Pubblicazione: (2026)

SP-GCRL: Influence Maximization on Incomplete Social Graphs
di: Niu, Haohua, et al.
Pubblicazione: (2026)

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

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

FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks
di: Luo, Renqiang, et al.
Pubblicazione: (2026)

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
di: Li, Zihao, et al.
Pubblicazione: (2024)

Multi-Order Hyperbolic Graph Convolution and Aggregated Attention for Social Event Detection
di: Liu, Yao, et al.
Pubblicazione: (2025)

BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers
di: He, Buyun, et al.
Pubblicazione: (2024)

Contrastive Learning for Implicit Social Factors in Social Media Popularity Prediction
di: Zhang, Zhizhen, et al.
Pubblicazione: (2024)

Contrastive Learning Augmented Social Recommendations
di: Wang, Lin, et al.
Pubblicazione: (2025)

Burger: Robust Graph Denoising-augmentation Fusion and Multi-semantic Modeling in Social Recommendation
di: Lan, Yuqin, et al.
Pubblicazione: (2025)