Covid-19 Fake News Infodemic Research Dataset (CoVID19-FNIR Dataset)

Citation Author(s):
Julio A.
University of Wyoming
Sindhu Reddy
Kalathur Gopal
University of Wyoming
University of Wyoming
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Last updated:
Thu, 07/22/2021 - 18:35
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The CoVID19-FNIR dataset contains news stories related to CoVID-19 pandemic fact-checked by expert fact-checkers. CoVID19-FNIR is a CoVID-19-specific dataset consisting of fact-checked fake news scraped from Poynter and true news from the verified Twitter handles of news publishers. The data samples were collected from India, The United States of America, and European regions and consist of online posts from social media platforms between February 2020 to June 2020. The dataset went through prepossessing steps that include removing special characters and non-vital information.


The folder contains the whole dataset. The folder has two files; (1) fakeNews.csv, and (2) trueNews.csv. The data in .csv files contain the news article and the corresponding fake rating collected from the USA, India, and Europe regions. A more detailed description of the data is given in the CoVID19-FNIR_Documentation.pdf file.

Acknowledgment: This data collection and documentation was supported in part by the NSF: CO-WY AMP program, the Social Justice Research Center, and McNair Scholars Program, University of Wyoming, USA.

Please cite: Julio A. Saenz, Sindhu Reddy Kalathur Gopal, Diksha Shukla, June 12, 2021, "Covid-19 Fake News Infodemic Research Dataset (CoVID19-FNIR Dataset)", IEEE Dataport, doi:


Fake News dataset related to CoVID-19 Pandemic.

Submitted by DIKSHA SHUKLA on Thu, 07/22/2021 - 18:31


Submitted by Hung Tran on Thu, 09/16/2021 - 05:46

Fake NEws data related to COvid-19 Pandemic

Submitted by Amit Hiremath on Sun, 06/13/2021 - 02:29


Submitted by manoj kumar on Thu, 09/16/2021 - 06:56

Thank you

Submitted by Sarju S on Fri, 10/22/2021 - 05:28