COVID-19 Fake News Dataset
Published: 22 February 2021| Version 1 | DOI: 10.17632/zwfdmp5syg.1
Contributor:
Abhishek Koirala
Description
This dataset consists of a collection of true and fake news related to COVID-19. The dataset consists of news between the period of December 2019- July 2020.
Files
Steps to reproduce
This dataset was collected using Webhose.io and was manually labelled. It consists of 3 subcategories of news: false news, true news, and partially false news. For the sake of classification, both partially false news and false news has been labelled 0 and true news has been labelled 1
Categories
Natural Language Processing, Machine Learning, Machine Learning Algorithm, Text Processing, Deep Learning