A dataset containing over 44 thousand news articles.
21,416 articles are labeled "real" all from
Reuters.com, 22,828 news articles are labeled "fake"
and collected from a variety of unreliable news websites.
Veracity was determined using using the political
fact-checking organization Politifact and Wikipedia.
Articles with 10 or fewer words were removed.
Usage
data("corpus_isot_fake_news")
A data frame with 44,244 rows and 5 variables.
Source
https://www.uvic.ca/ecs/ece/isot/datasets/fake-news/index.php
Variables
doc_id. Unique identifier for each comment
title. Title of the news article
text. Text of the article
date. Publication date of the article
rating. Veracity of the article (real or fake)
References
Ahmed H, Traore I, Saad S. (2018).
"Detecting opinion spams and fake news using text classification",
Journal of Security and Privacy, 1(1)