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If the issue persists, it's likely a problem on our side. Unexpected token < in JSON at position 4. keyboard_arrow_up. content_copy. SyntaxError: Unexpected token < in JSON at position 4. Refresh. Fake News Classification on WELFake Dataset.
Feb 24, 2022 · In this project, a dataset about fake news is collected and combined with pre-existing datasets. In addition, a model that can detect if an input text is a piece of fake news is created.
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.
We released a tool FakeNewsTracker, for collecting, analyzing, and visualizing of fake news and the related dissemination on social media. Check it out! 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
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.
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
FakeNewsNet is collected from two fact-checking websites: GossipCop and PolitiFact containing news contents with labels annotated by professional journalists and experts, along with social context information. Source: Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News.
