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Two fake news datasets covering seven different news domains.
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.
Corpus is mainly intended for use in training deep learning algorithms for purpose of fake news recognition. The dataset is still work in progress and for now, the public version includes only 9,408,908 articles (745 out of 1001 domains).
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.
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.
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.
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.
This project aims to create the largest ground truth fake news analysis dataset for real and fake news content in relation to social media posts. Below illustrates the major contributions of the TruthSeeker dataset to the current fake news dataset landscape: One of the most extensive benchmark datasets with more than 180,000 labelled Tweets.
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.
