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Weibo21 is a benchmark of fake news dataset for multi-domain fake news detection (MFND) with domain label annotated, which consists of 4,488 fake news and 4,640 real news from 9 different domains. 10 PAPERS • NO BENCHMARKS YET
Official repository to release the code and datasets in the paper "Mining Dual Emotion for Fake News Detection", WWW 2021. keras emotion fake-news-detection www2021 Updated Dec 31, 2021
LIAR is a publicly available dataset for fake news detection. A decade-long of 12.8K manually labeled short statements were collected in various contexts from POLITIFACT.COM, which provides detailed analysis report and links to source documents for each case.
161 papers with code • 9 benchmarks • 27 datasets. Fake News Detection is a natural language processing task that involves identifying and classifying news articles or other types of text as real or fake.
The latest dataset paper with detailed analysis on the dataset can be found at FakeNewsNet. Please use the current up-to-date version of dataset. Previous version of the dataset is available in branch named old-version of this repository. Overview.
In order to automatically detect instances of misinformation, one approach is to combine machine learning and computational linguistic techniques to build predictive models on labeled instances of news articles (fake/real or false/true items).
5 days ago · Datasets The quality and diversity of datasets used for training and evaluating fake news detection models is a key challenge. Ensuring datasets are representative is crucial for models to generalize to real-world scenarios (Raza and Schwartz 2023 ).
