# COVID-19 Fake News Detection With Pre-trained Transformer Models

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/covid-19-fake-news-detection-with-pre-trained-transformer-models/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Bakti Amirul Jabar,Seline Seline,Bintang Bintang,Cameron Jane Victoria,Rio Nur Arifin |
| Citations | 3 |
| DOI | 10.31937/ti.v14i2.2776 |
| Fields | Computer Science,Social Sciences |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://ejournals.umn.ac.id/index.php/TI/article/download/2776/1340 |
| OpenAlex ID | https://openalex.org/W4385393158 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Bakti Amirul Jabar](https://scholariq.org/researchers/bakti-amirul-jabar/)

## Paper journal

- [Ultimatics Jurnal Teknik Informatika](https://scholariq.org/journals/ultimatics-jurnal-teknik-informatika/)

## 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/)
- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)
- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)

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