Fake news

COVIFN is a CoVID-19-specific dataset that consists of fact-checked fake news scraped from Poynter and true news from news publishers' verified portals. The dataset was pre-processed, the removal of special characters and non-vital information is performed.

The file contains columns such as:

Date: publish date of news article 

country: country the article is about

text: the news article content

label: fake or real news label

URL: the fact-checked site

source: original news source site

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2328 Views

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.

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5956 Views

This database is provided for the Fake News Detection task. In addition to being used in other tasks of detecting fake news, it can be specifically used to detect fake news using the Natural Language Inference (NLI).

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9116 Views

This dataset provides a labeled fake news data, which can be used to have a deep study of fake news.

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2803 Views