Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection

17 February 2021

Papers citing "Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection"

5 / 5 papers shown

Title
A Meta Path-based Approach for Rumor Detection on Social Media Bita Azarijoo Mostafa Salehi S. Najari 19 1 0 11 Jan 2023
Machine Learning-based Automatic Annotation and Detection of COVID-19 Fake News Mohammad Majid Akhtar Bibhas Sharma Ishan Karunanayake Rahat Masood Muhammad Ikram S. Kanhere DeLMO 47 4 0 07 Sep 2022
A Comparative Study on COVID-19 Fake News Detection Using Different Transformer Based Models Sajib Kumar Saha Joy Dibyo Fabian Dofadar Riyo Hayat Khan M. Ahmed Rafeed Rahman MedIm 30 5 0 02 Aug 2022
People Still Care About Facts: Twitter Users Engage More with Factual Discourse than Misinformation--A Comparison Between COVID and General Narratives on Twitter Mirela Silva Fabrício Ceschin P. Shrestha Christopher Brant Shlok Gilda Juliana Fernandes Catia S. Silva André Grégio Daniela Oliveira Luiz H. F. Giovanini 18 1 0 03 Dec 2020
SAFE: Similarity-Aware Multi-Modal Fake News Detection Xinyi Zhou Jindi Wu R. Zafarani 38 65 0 19 Feb 2020