Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checking

26 November 2020

Papers citing "Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checking"

9 / 9 papers shown

Title
X-CapsNet For Fake News Detection Mohammad Hadi Goldani Reza Safabakhsh S. Momtazi GNN MedIm 20 1 0 23 Jul 2023
Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidence Gengyu Wang Kate Harwood Lawrence Chillrud Amith Ananthram Melanie Subbiah Kathleen McKeown HILM 8 22 0 29 May 2023
Exoskeleton for the Mind: Exploring Strategies Against Misinformation with a Metacognitive Agent Yeongdae Kim Takane Ueno Katie Seaborn Hiroki Oura Jacqueline Urakami Yuto Sawa LLMAG 12 4 0 18 Apr 2023
Automated Evidence Collection for Fake News Detection Mrinal Rawat Diptesh Kanojia 32 3 0 13 Dec 2021
Social Fraud Detection Review: Methods, Challenges and Analysis Saeedreza Shehnepoor R. Togneri Wei Liu Bennamoun AAML 14 2 0 10 Nov 2021
Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or Something Else? Alexander Michael Daniel 23 1 0 09 Nov 2021
Transformer based Automatic COVID-19 Fake News Detection System Sunil Gundapu R. Mamidi 24 70 0 01 Jan 2021
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 17 309 0 06 Nov 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,956 0 20 Apr 2018