Fakeddit
Introduced by Nakamura et al. in r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection
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/Papers
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