13 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.

The dataset is a combination of 3 singular datasets: A Million News Headlines, Fake and real news, Getting Real about Fake News.

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...

A dataset of online bots that can emulate human behavior and interact with users seamlessly.

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.

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.

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...

The dataset contains traffic and network characteristics of fake and real news sites.

The dataset contains 283 fake news sites, along with their traffic and network characteristics.

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