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Two fake news datasets covering seven different news domains.
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.
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/.
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.
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.
We released a tool FakeNewsTracker, for collecting, analyzing, and visualizing of fake news and the related dissemination on social media. Check it out! The latest dataset paper with detailed analysis on the dataset can be found at FakeNewsNet. Please use the current up-to-date version of dataset
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.
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.
Jun 28, 2022 · Addressing the problem requires clear definitions and examples. In this work, we present a dataset of fake news and satire stories that are hand coded, verified, and, in the case of fake news, include rebutting stories.
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
