17 datasets found

The dataset used in the paper for fake news detection, which includes news and comments.

The dataset used in the paper for fake news detection, which includes news and comments.

Fake news detection task can be defined as a binary classification problem, where each news article can be real (y = 0) or fake (y = 1). The WeChat dataset is collected from...

The Fake News Detection dataset contains text documents with fake news labels.

A dataset for fake news inference

A dataset for opinion spam and fake news detection

A new benchmark dataset for fake news detection, containing 12,836 short statements labeled for truthfulness, subject, context/venue, speaker, state, party, and prior history.

A framework for fake news detection using deep learning techniques

The PAN Profiling Fake News Spreader Task contains a dataset in English, whose samples were collected from Twitter.

The dataset provided for the competition has social media posts related to COVID-19 and corresponding labels indicating if the social media posts are fake or real.

Twitter, PHEME, and Weibo are three real social media datasets from Twitter, PHEME, and Weibo.

The Gossipcop dataset is an English full-length article news dataset collected from the entertainment domain of FakeNewsNet repository.

The BanFakeNews dataset is a publicly available annotated dataset consisting of approximately 50K Bangla news articles, with 97.4% of the majority class and 2.6% of the minority...

Explainable fake news detector with visualizations

Fake news detection on social media poses several new and challenging research problems.

Fake news detection methods and news diversity metrics

Fakenewsnet: A data repository with news content, social context, and spatiotemporal information for studying fake news on social media.