Covid-19 Fake News Infodemic Research Dataset (CoVID19-FNIR Dataset)
- Citation Author(s):
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Julio A. Saenz (University of Wyoming)Sindhu Reddy Kalathur Gopal (University of Wyoming)Diksha Shukla (University of Wyoming)
- Submitted by:
- DIKSHA SHUKLA
- Last updated:
- DOI:
- 10.21227/b5bt-5244
- Data Format:
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Abstract
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.
Instructions:
The CoVID19-FNIR.zip 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: https://dx.doi.org/10.21227/b5bt-5244.
In reply to Fake NEws data related to by DIKSHA SHUKLA
Thank you