A scoping review of digital health interventions for combating COVID-19 misinformation and disinformation

K Czerniak, R Pillai, A Parmar… - Journal of the …, 2023 - academic.oup.com
Objective We provide a scoping review of Digital Health Interventions (DHIs) that mitigate
COVID-19 misinformation and disinformation seeding and spread. Materials and Methods …

Applications of machine learning for COVID-19 misinformation: a systematic review

AR Sanaullah, A Das, A Das, MA Kabir… - Social Network Analysis …, 2022 - Springer
The inflammable growth of misinformation on social media and other platforms during
pandemic situations like COVID-19 can cause significant damage to the physical and mental …

COVID-19 fake news detection: A hybrid CNN-BiLSTM-AM model

H Xia, Y Wang, JZ Zhang, LJ Zheng, MM Kamal… - … Forecasting and Social …, 2023 - Elsevier
With the rapid development of technology, social media as a communication platform has
caused a significant increase in the dissemination of false information and fake news. We …

A meta-analysis of state-of-the-art automated fake news detection methods

R Kozik, A Pawlicka, M Pawlicki… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Recently, various artificial intelligence (AI)-based methods have been proposed to support
humans in detecting disinformation and fake news. The goal of this article is to provide a …

ARCNN framework for multimodal infodemic detection

C Raj, P Meel - Neural Networks, 2022 - Elsevier
Fake news and misinformation have adopted various propagation media over time,
nowadays spreading predominantly through online social networks. During the ongoing …

Cultural evolution and digital media: diffusion of fake news about COVID-19 on Twitter

DVB de Oliveira, UP Albuquerque - SN computer science, 2021 - Springer
Disinformation (fake news) is a major problem that affects modern populations, especially in
an era when information can be spread from one corner of the world to another in just one …

A cooperative deep learning model for fake news detection in online social networks

C Mallick, S Mishra, MR Senapati - Journal of Ambient Intelligence and …, 2023 - Springer
Fake news, which considers and modifies facts for virality objectives, causes a lot of havoc
on social media. It spreads faster than real news and produces a slew of issues, including …

Fake News Detection Using Deep Learning: A Systematic Literature Review

MQ Alnabhan, P Branco - IEEE Access, 2024 - ieeexplore.ieee.org
Nowadays, we witness rapid technological advancements in online communication
platforms, with increasing volumes of people using a vast range of communication solutions …

Enhanced multimodal fake news detection with optimal feature fusion and modified bi-lstm architecture

V Kishore, M Kumar - Cybernetics and systems, 2023 - Taylor & Francis
Numerous enhancements have been made to the mobile internet, which leads to an
increase the people's attention to posting more multi-modal posts among the social media …

Understanding the use and abuse of social media: Generalized fake news detection with a multichannel deep neural network

RK Kaliyar, A Goswami, P Narang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Fake news has spread across social media platforms and with the ease of access, negative
consequences have come with it on individuals and society. This issue has become a focus …