Cover Image

Exposing and Explaining Fake News On-the-Fly

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	de Arriba-Pérez, Francisco, García-Méndez, Silvia, Leal, Fátima, Malheiro, Benedita, Burguillo, Juan Carlos
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Online detection and infographic explanation of spam reviews with data drift adaptation
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

Identification and explanation of disinformation in wiki data streams
by: de Arriba-Pérez, Francisco, et al.
Published: (2025)

Interpretable classification of wiki-review streams
by: Méndez, Silvia García, et al.
Published: (2024)

Unraveling Emotions with Pre-Trained Models
by: Pajón-Sanmartín, Alejandro, et al.
Published: (2025)

An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal
by: García-Méndez, Silvia, et al.
Published: (2025)

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

Explainable assessment of financial experts' credibility by classifying social media forecasts and checking the predictions with actual market data
by: García-Méndez, Silvia, et al.
Published: (2024)

Simulation, Modelling and Classification of Wiki Contributors: Spotting The Good, The Bad, and The Ugly
by: Méndez, Silvia García, 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)

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

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)

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

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

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

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

Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages
by: García-Méndez, Silvia, et al.
Published: (2024)

Detecting and explaining postpartum depression in real-time with generative artificial intelligence
by: García-Méndez, Silvia, et al.
Published: (2025)

Leveraging Large Language Models through Natural Language Processing to provide interpretable Machine Learning predictions of mental deterioration in real time
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

Less is More: Unseen Domain Fake News Detection via Causal Propagation Substructures
by: Gong, Shuzhi, 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)

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)

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

A Novel Method for News Article Event-Based Embedding
by: Ishlach, Koren, 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)

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

Hierarchical Level-Wise News Article Clustering via Multilingual Matryoshka Embeddings
by: Hanley, Hans W. A., et al.
Published: (2025)

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

Multimodal Analysis of State-Funded News Coverage of the Israel-Hamas War on YouTube Shorts
by: Miehling, Daniel, et al.
Published: (2026)

Incentivizing News Consumption on Social Media Platforms Using Large Language Models and Realistic Bot Accounts
by: Askari, Hadi, et al.
Published: (2024)

Explaining Synergistic Effects in Social Recommendations
by: Li, Yicong, et al.
Published: (2026)

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)

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

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

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

Informatics & dairy industry coalition: AI trends and present challenges
by: García-Méndez, Silvia, et al.
Published: (2024)

A review on the use of large language models as virtual tutors
by: García-Méndez, Silvia, 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)