Datasets
Standard Dataset
Fake News on Healthcare
- Citation Author(s):
- Submitted by:
- Isha Agarwal
- Last updated:
- Mon, 11/01/2021 - 04:35
- DOI:
- 10.21227/s1ff-xt16
- Data Format:
- License:
- Categories:
- Keywords:
Abstract
The Internet is a vast repository of useful knowledge, but it has been contaminated by the spread of false information. Relying on misinformation can be disastrous. According to a World Health Organization survey, about 6,000 individuals were hospitalised throughout the world as a result of fake news on COVID-19 in the first three months of 2020. During this time span, at least 800 individuals have died as a result of COVID-19 misrepresentation. Fake news datasets in healthcare, on the other hand, are rare, small, and extremely unbalanced in academia. This paper presents a curated dataset on fake news in the healthcare domain.
The major problem associated with collecting the news content from the website is to find fake and truth-labeled websites. For this purpose, a document constituting the label associated with each website is used. The website with satire or fake labels within the document has been chosen for extracting the fake news. While for the truth news, websites such as CNN, BBC News, The Atlantic, and other well-known reliable websites have been used.
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