Analyzing Multimodal Datasets for Detecting Online COVID Misinformation: A Preliminary Survey Study
Author:
Affiliation:
1. School of Computing and Analytics, Northern Kentucky University,Highland Heights,Kentucky,USA
Funder
Northern Kentucky University (NKU) Computer Science
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10099037/10098906/10099147.pdf?arnumber=10099147
Reference20 articles.
1. COVID-19 Fake News Detection by Using BERT and RoBERTa models
2. Using Supervised Learning Models for Creating a New Fake News Analysis and Classification of a COVID-19 Dataset: A case study on Covid-19 in Iran
3. Exploring Content-Based and Meta-Data Analysis for Detecting Fake News Infodemic: A case study on COVID-19
4. Fake News Detection of South African COVID-19 Related Tweets using Machine Learning
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