Copertina

Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment Generator

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Bing, Zhao, Bingrui, Li, Ximing, Li, Changchun, Gao, Wanfu, Wang, Shengsheng
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Social and Information Networks
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Why Misinformation is Created? Detecting them by Integrating Intent Features
di: Wang, Bing, et al.
Pubblicazione: (2024)

Variety Is the Spice of Life: Detecting Misinformation with Dynamic Environmental Representations
di: Wang, Bing, et al.
Pubblicazione: (2025)

Robust Misinformation Detection by Visiting Potential Commonsense Conflict
di: Wang, Bing, et al.
Pubblicazione: (2025)

Toward Effective Multi-Domain Rumor Detection in Social Networks Using Domain-Gated Mixture-of-Experts
di: Sheikhqoraei, Mohadeseh, et al.
Pubblicazione: (2026)

Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting
di: Nan, Qiong, et al.
Pubblicazione: (2023)

Enhancing Rumor Detection Methods with Propagation Structure Infused Language Model
di: Cui, Chaoqun, et al.
Pubblicazione: (2025)

Predicting Viral Rumors and Vulnerable Users for Infodemic Surveillance
di: Zhang, Xuan, et al.
Pubblicazione: (2024)

Insight Rumors: A Novel Textual Rumor Locating and Marking Model Leveraging Att_BiMamba2 Network
di: Ma, Bin, et al.
Pubblicazione: (2025)

Rumor Detection on Social Media with Temporal Propagation Structure Optimization
di: Peng, Xingyu, et al.
Pubblicazione: (2024)

Graph Representation Learning with Massive Unlabeled Data for Rumor Detection
di: Cui, Chaoqun, et al.
Pubblicazione: (2025)

Harmfully Manipulated Images Matter in Multimodal Misinformation Detection
di: Wang, Bing, et al.
Pubblicazione: (2024)

Towards Real-World Rumor Detection: Anomaly Detection Framework with Graph Supervised Contrastive Learning
di: Cui, Chaoqun, et al.
Pubblicazione: (2025)

Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection
di: Tao, Xiang, et al.
Pubblicazione: (2024)

Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models
di: Nan, Qiong, et al.
Pubblicazione: (2024)

Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection
di: Cui, Chaoqun, et al.
Pubblicazione: (2025)

VGA: Vision and Graph Fused Attention Network for Rumor Detection
di: Bai, Lin, et al.
Pubblicazione: (2024)

Stance Detection on Social Media with Fine-Tuned Large Language Models
di: Gül, İlker, et al.
Pubblicazione: (2024)

Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective
di: Wang, Bing, et al.
Pubblicazione: (2025)

SoMe: A Realistic Benchmark for LLM-based Social Media Agents
di: Xue, Dizhan, et al.
Pubblicazione: (2025)

Explicit and Implicit Data Augmentation for Social Event Detection
di: Ma, Congbo, et al.
Pubblicazione: (2025)

Early Detection of Misinformation for Infodemic Management: A Domain Adaptation Approach
di: Mao, Minjia, et al.
Pubblicazione: (2024)

Automated Annotation of Evolving Corpora for Augmenting Longitudinal Network Data: A Framework Integrating Large Language Models and Expert Knowledge
di: Liu, Xiao, et al.
Pubblicazione: (2025)

Epidemiology-informed Network for Robust Rumor Detection
di: Jiang, Wei, et al.
Pubblicazione: (2024)

WhatsApp Vaccine Discourse (WhaVax): An Expert-Annotated Dataset and Benchmark for Health Misinformation Detection
di: Santos, Jônatas H. dos, et al.
Pubblicazione: (2026)

Latent Causal Void: Explicit Missing-Context Reconstruction for Misinformation Detection
di: Li, Hui, et al.
Pubblicazione: (2026)

Inside the echo chamber: Linguistic underpinnings of misinformation on Twitter
di: Wang, Xinyu, et al.
Pubblicazione: (2024)

An Incremental Clustering Baseline for Event Detection on Twitter
di: Ray, Marjolaine, et al.
Pubblicazione: (2024)

Protecting Vulnerable Voices: Synthetic Dataset Generation for Self-Disclosure Detection
di: Jangra, Shalini, et al.
Pubblicazione: (2025)

Detecting Manipulated Contents Using Knowledge-Grounded Inference
di: Meng, Mark Huasong, et al.
Pubblicazione: (2025)

From Keywords to Clusters: AI-Driven Analysis of YouTube Comments to Reveal Election Issue Salience in 2024
di: Simoes, Raisa M., et al.
Pubblicazione: (2025)

ElectionRumors2022: A Dataset of Election Rumors on Twitter During the 2022 US Midterms
di: Schafer, Joseph S, et al.
Pubblicazione: (2024)

A BERT Based Hybrid Recommendation System For Academic Collaboration
di: N, Sangeetha, et al.
Pubblicazione: (2025)

Early Detection of Mental Health Issues Using Social Media Posts
di: Saeed, Qasim Bin, et al.
Pubblicazione: (2025)

Language Evolution for Evading Social Media Regulation via LLM-based Multi-agent Simulation
di: Cai, Jinyu, et al.
Pubblicazione: (2024)

Short-video Propagation Influence Rating: A New Real-world Dataset and A New Large Graph Model
di: Xue, Dizhan, et al.
Pubblicazione: (2025)

Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges
di: Sun, Yanshen, et al.
Pubblicazione: (2024)

Multimodal Misinformation Detection Using Early Fusion of Linguistic, Visual, and Social Features
di: Shahi, Gautam Kishore
Pubblicazione: (2025)

A Survey of Stance Detection on Social Media: New Directions and Perspectives
di: Zhang, Bowen, et al.
Pubblicazione: (2024)

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

TAGFN: A Text-Attributed Graph Dataset for Fake News Detection in the Age of LLMs
di: Liu, Kay, et al.
Pubblicazione: (2025)