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Evaluating Deep Learning Approaches for Covid19 Fake News Detection

11 January 2021

Papers citing "Evaluating Deep Learning Approaches for Covid19 Fake News Detection"

14 / 14 papers shown

X-CapsNet For Fake News Detection

Mohammad Hadi Goldani

Reza Safabakhsh

S. Momtazi

GNN MedIm

188

23 Jul 2023

Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation

233

19 Apr 2023

Towards Simple and Efficient Task-Adaptive Pre-training for Text Classification

185

26 Sep 2022

A Comparative Study on COVID-19 Fake News Detection Using Different Transformer Based ModelsIEEE Symposium on Industrial Electronics and Applications (IEA), 2022

179

02 Aug 2022

A Proposed Bi-LSTM Method to Fake News Detection

Taminul Islam

M. Hosen

Akhi Mony

Md Musleh Uddin Hasan

Israt Jahan

Arindom Kundu

185

15 Jun 2022

On Sensitivity of Deep Learning Based Text Classification Algorithms to Practical Input Perturbations

275

02 Jan 2022

Automated Evidence Collection for Fake News Detection

Mrinal Rawat

Helen Treharne

157

13 Dec 2021

Multimodal Fake News Detection

Santiago Alonso-Bartolome

Isabel Segura-Bedmar

147

09 Dec 2021

Comparative Study of Long Document ClassificationIEEE Region 10 Conference (TENCON), 2021

204

01 Nov 2021

Contextual Hate Speech Detection in Code Mixed Text using Transformer Based Approaches

Ravindra Nayak

Raviraj Joshi

187

18 Oct 2021

Checkovid: A COVID-19 misinformation detection system on Twitter using network and content mining perspectives

Sajad Dadgar

M. Ghatee

170

20 Jul 2021

Indonesia's Fake News Detection using Transformer NetworkInternational Conference on Sustainable Information Engineering and Technology (ICSIET), 2021

Aisyah Awalina

Jibran Fawaid

Rifky Yunus Krisnabayu

N. Yudistira

GNN

120

14 Jul 2021

L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis DatasetWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), 2021

246

21 Mar 2021