Fakeddit

홈페이지 · 논문 15편

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. Source: https://fakeddit.netlify.app/