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Detection of Fake News.
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. 8 PAPERS • NO BENCHMARKS YET
160 papers with code • 9 benchmarks • 26 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.
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.
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 dataset for fake news detection with 12.8K human labeled short statements from politifact.com's API, and each statement is evaluated by a politifact.com editor for its truthfulness. The distribution of labels in the LIAR dataset is relatively well-balanced: except for 1,050 pants-fire cases, the instances for all other labels range ...
Nov 5, 2021 · We surveyed 118 datasets related to fake news research on a large scale from three perspectives: (1) fake news detection, (2) fact verification, and (3) other tasks; for example, the analysis of fake news and satire detection.
