# Detecting COVID-19-Related Fake News Using Feature Extraction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/detecting-covid-19-related-fake-news-using-feature-extraction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Suleman Khan,Saqib Hakak,N. Deepa,B. Prabadevi,Kapal Dev,Silvia Treľová |
| Citations | 63 |
| DOI | 10.3389/fpubh.2021.788074 |
| Fields | Computer Science,Medicine,Social Sciences |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.frontiersin.org/articles/10.3389/fpubh.2021.788074/pdf |
| OpenAlex ID | https://openalex.org/W4205892035 |
| PMID | 35059379 |
| Type | article |
| Year | 2022 |

## Paper authors

- [N. Deepa](https://scholariq.org/researchers/n-deepa/)

## Paper journal

- [Frontiers in Public Health](https://scholariq.org/journals/frontiers-in-public-health/)

## Paper primary topic

- [Misinformation and Its Impacts](https://scholariq.org/topics/misinformation-and-its-impacts/)

## Paper topics

- [Misinformation and Its Impacts](https://scholariq.org/topics/misinformation-and-its-impacts/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.