Fake News Dataset

Published: 14 September 2021| Version 1 | DOI: 10.17632/945z9xkc8d.1
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Description

This is some collections of fake news dataset that has been cleaned, augmented, and preprocessed. Each of the datasets has been split into train and test data with an 80:20 ratio. There are four folders in the file: 1. ISOT Fake News Dataset H. Ahmed, I. Traore, S. Saad, Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques, in: Lect. Notes Comput. Sci. (Including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), 2017: pp. 127–138. https://doi.org/10.1007/978-3-319-69155-8_9. 2. Fake News Dataset UTK Machine Learning Club, Fake News, (2018). https://www.kaggle.com/c/fake-news/overview. 3. Fake or Real News Dataset G. McIntire, Fake or Real News, (2017). https://github.com/joolsa/fake_real_news_dataset. 4. Fake News Detection Dataset Jruvika, Fake News Detection, (2017). https://www.kaggle.com/jruvika/fake-news-detection/version/1.

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Institutions

Universitas Udayana

Categories

Machine Learning, Text Mining, Deep Learning

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