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Two fake news datasets covering seven different news domains.
Fake News Corpus. This is an open source dataset composed of millions of news articles mostly scraped from a curated list of 1001 domains from http://www.opensources.co/.
Fakeddit is a novel multimodal dataset for fake news detection consisting of over 1 million samples from multiple categories of fake news. After being processed through several stages of review, the samples are labeled according to 2-way, 3-way, and 6-way classification categories through distant supervision.
Feb 24, 2022 · 📖 A curated list of resources dedicated to Fake News Detection. natural-language-processing fake-news fake-news-software fake-news-dataset. Updated on Feb 24, 2022. hritik5102 / Fake-news-classification-model. Star 34. Code. Issues. Pull requests. Discussions.
Fakeddit is a novel multimodal dataset for fake news detection consisting of over 1 million samples from multiple categories of fake news. After being processed through several stages of review, the samples are labeled according to 2-way, 3-way, and 6-way classification categories through distant supervision.
LIAR is a publicly available dataset for fake news detection. A decade-long of 12.8K manually labeled short statements were collected in various contexts from POLITIFACT.COM, which provides detailed analysis report and links to source documents for each case.
The "Fake and Real News Dataset" comprises two distinct collections of news articles: one containing 23,502 articles labeled as fake news and the other containing 21,417 articles labeled as true news.
Nov 5, 2021 · We surveyed 118 datasets related to fake news research on a large scale from three perspectives: (1) fake news detection, (2) fact verification, and (3) other tasks; for example, the analysis of fake news and satire detection.
We aim to provide summaries of various datasets related to fake news. This study comprehensively introduces 118 kinds of datasets related to fake news, significantly more than 27 presented in a previous survey paper [68] focusing on the dataset. The study can facilitate fake news research by helping researchers find the suitable dataset without
4 days ago · We present Fakeddit, a novel multimodal dataset consisting of over 1 million samples from multiple categories of fake news. After being processed through several stages of review, the samples are labeled according to 2-way, 3-way, and 6-way classification categories through distant supervision.
