An ensemble of text and author-graph embeddings reaches 82.5-89.5% F1 on binary true/false subsets of Twitter15 and Twitter16, but the state-of-the-art comparison is not run under the same evaluation protocol.
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GETAE: Graph information Enhanced deep neural NeTwork ensemble ArchitecturE for fake news detection
An ensemble of text and author-graph embeddings reaches 82.5-89.5% F1 on binary true/false subsets of Twitter15 and Twitter16, but the state-of-the-art comparison is not run under the same evaluation protocol.