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RumourEval-19
The dataset used in the paper for fake news detection, which includes news and comments. -
WeChat dataset
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... -
Liar, Liar Pants on Fire: A New Benchmark Dataset for 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. -
PAN Profiling Fake News Spreader Task
The PAN Profiling Fake News Spreader Task contains a dataset in English, whose samples were collected from Twitter. -
COVID-19 Fake News Detection in English
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. -
BanFakeNews
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... -
Fake News Detection on Social Media
Fake news detection on social media poses several new and challenging research problems.