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FacTweet: Profiling Fake News Twitter Accounts
October 15, 2019 ยท Declared Dead ยท ๐ International Conference on Statistical Language and Speech Processing
"No code URL or promise found in abstract"
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Authors
Bilal Ghanem, Simone Paolo Ponzetto, Paolo Rosso
arXiv ID
1910.06592
Category
cs.CL: Computation & Language
Cross-listed
cs.SI
Citations
22
Venue
International Conference on Statistical Language and Speech Processing
Last Checked
4 months ago
Abstract
We present an approach to detect fake news in Twitter at the account level using a neural recurrent model and a variety of different semantic and stylistic features. Our method extracts a set of features from the timelines of news Twitter accounts by reading their posts as chunks, rather than dealing with each tweet independently. We show the experimental benefits of modeling latent stylistic signatures of mixed fake and real news with a sequential model over a wide range of strong baselines.
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