A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is text/html
.
Detecting COVID-19-Related Fake News Using Feature Extraction
2022
Frontiers in Public Health
Since its emergence in December 2019, there have been numerous posts and news regarding the COVID-19 pandemic in social media, traditional print, and electronic media. These sources have information from both trusted and non-trusted medical sources. Furthermore, the news from these media are spread rapidly. Spreading a piece of deceptive information may lead to anxiety, unwanted exposure to medical remedies, tricks for digital marketing, and may lead to deadly factors. Therefore, a model for
doi:10.3389/fpubh.2021.788074
pmid:35059379
pmcid:PMC8764372
fatcat:j3dlyuzbgfaplhky3wh2x64kbe