Stemming the Tide of Fake News about the COVID-19 Pandemic
35th International Florida Artificial Intelligence Research Society Conference, FLAIRS-35 2022
; 35, 2022.
Article
in English
| Scopus | ID: covidwho-1879808
ABSTRACT
While the world has been combating COVID, there has also been an ongoing “Infodemic,” caused by the spread of fake news about the pandemic. Due to the rapid data sharing on social media, the impact of fake news can be quite damaging. Citizens might mistake fakes news for real news. Human lives have been lost due to fake information about COVID. Our goal is to identify fake news on social media and help stem the spread by deep learning approaches. To understand the different characteristics in fake and real news, we conducted behavioral and sentiment analyses between fake and real news regarding the COVID pandemic. We then further built detection models based on feature elimination, and we identified differences of model robustness based on selected features. © 2022, by the authors. All rights reserved.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
35th International Florida Artificial Intelligence Research Society Conference, FLAIRS-35 2022
Year:
2022
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS