Two-path Deep Semi-supervised Learning for Timely Fake News Detection

IEEE Transactions on Computational Social Systems (TCSS), 2020

31 January 2020

Papers citing "Two-path Deep Semi-supervised Learning for Timely Fake News Detection"

8 / 8 papers shown

VERITAS-NLI : Validation and Extraction of Reliable Information Through Automated Scraping and Natural Language Inference

198

12 Oct 2024

Exposing and Explaining Fake News On-the-FlyMachine-mediated learning (ML), 2024

Francisco de Arriba-Pérez

248

03 May 2024

LOSS-GAT: Label Propagation and One-Class Semi-Supervised Graph Attention Network for Fake News Detection

Batool Lakzaei

M. H. Chehreghani

Alireza Bagheri

230

13 Feb 2024

A Review of Deep Learning-based Approaches for Deepfake Content Detection

433

12 Feb 2022

Fake News Detection: Experiments and Approaches beyond Linguistic Features

292

27 Sep 2021

A Survey on Multimodal Disinformation DetectionInternational Conference on Computational Linguistics (COLING), 2021

Firoj Alam

S. Cresci

Tanmoy Chakraborty

Fabrizio Silvestri

Dimiter Dimitrov

Giovanni Da San Martino

Shaden Shaar

Hamed Firooz

Preslav Nakov

308

122

13 Mar 2021

Combat COVID-19 Infodemic Using Explainable Natural Language Processing ModelsInformation Processing & Management (IPM), 2021

Jackie Ayoub

X. J. Yang

Feng Zhou

337

148

01 Mar 2021

Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News DetectionApplied Soft Computing (Appl Soft Comput), 2021

337

131

17 Feb 2021