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

20 July 2021

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

9 / 9 papers shown

Title
Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models Jackie Ayoub X. J. Yang Feng Zhou 74 128 0 01 Mar 2021
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection William Scott Paka Rachit Bansal Abhay Kaushik Shubhashis Sengupta Tanmoy Chakraborty FedML GNN 53 117 0 17 Feb 2021
Evaluating Deep Learning Approaches for Covid19 Fake News Detection Apurva Wani Isha Joshi Snehal Khandve Vedangi Wagh Raviraj Joshi GNN 109 110 0 11 Jan 2021
g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection Anna Glazkova Maksim Glazkov T. Trifonov 45 59 0 22 Dec 2020
Fighting an Infodemic: COVID-19 Fake News Dataset Parth Patwa Shivam Sharma Srinivas Pykl V. Guptha G. Kumari Md. Shad Akhtar Asif Ekbal A. Das Tanmoy Chakraborty 39 309 0 06 Nov 2020
ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection Fatima Haouari Maram Hasanain Reem Suwaileh Tamer Elsayed 60 64 0 17 Oct 2020
CoAID: COVID-19 Healthcare Misinformation Dataset Limeng Cui Dongwon Lee 25 239 0 22 May 2020
Automatic Detection of Fake News Verónica Pérez-Rosas Bennett Kleinberg Alexandra Lefevre Rada Mihalcea 52 779 0 23 Aug 2017
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 232 33,445 0 16 Oct 2013