Cross-sectional analysis of COVID-19 vaccine intention, perceptions and hesitancy across Latin America and the Caribbean

D Urrunaga-Pastor, G Bendezu-Quispe… - Travel medicine and …, 2021 - Elsevier
Background Determinants of vaccine acceptance are multifactorial, complex, and in most
cases, context-dependent. We determined the prevalence of COVID-19 vaccination intention …

Dafd: Domain adaptation framework for fake news detection

Y Huang, M Gao, J Wang, K Shu - … , Sanur, Bali, Indonesia, December 8–12 …, 2021 - Springer
Nowadays, social media has become the leading platform for news dissemination and
consumption. Due to the convenience of social media platforms, fake news spread at an …

A survey of covid-19 misinformation: Datasets, detection techniques and open issues

AR Ullah, A Das, A Das, MA Kabir, K Shu - arXiv preprint arXiv …, 2021 - arxiv.org
Misinformation during pandemic situations like COVID-19 is growing rapidly on social media
and other platforms. This expeditious growth of misinformation creates adverse effects on …

Comparative micro blogging news analysis on the covid-19 pandemic scenario

C Kaushal, MAR Refat, MA Amin, MK Islam - Proceedings of International …, 2022 - Springer
Abstract The coronavirus outbreak (COVID-19) was followed by a significant number of false
and unreliable content, particularly on a social media forum like Twitter, Facebook, or news …

Human-in-the-loop disinformation detection: Stance, sentiment, or something else?

AM Daniel - arXiv preprint arXiv:2111.05139, 2021 - arxiv.org
Both politics and pandemics have recently provided ample motivation for the development of
machine learning-enabled disinformation (aka fake news) detection algorithms. Existing …

[PDF][PDF] NITK_NLP at CheckThat! 2021: Ensemble Transformer Model for Fake News Classification.

HRI LekshmiAmmal, AK Madasamy - CLEF (Working Notes), 2021 - ceur-ws.org
Social media has become an inevitable part of our life as we are primarily dependent on
them to get most of the news around us. However, the amount of false information …

Fake News Detection Based on Attention Mechanism and Convolutional Neural Network

F Wang, H Zhang, R Cheng, PWR Xu - … in China: Proceedings of the 3rd …, 2022 - Springer
The rapid development of social media has made Internet news flood all aspects of our lives,
and also facilitated the spread of fake news, so it is important to detect fake news to reduce …