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Arabic Fake News Detection Based on Deep Contextualized Embedding Models. (arXiv:2205.03114v1 [cs.CL])
Web: http://arxiv.org/abs/2205.03114
May 9, 2022, 1:10 a.m. | Ali Bou Nassif, Ashraf Elnagar, Omar Elgendy, Yaman Afadar
cs.CL updates on arXiv.org arxiv.org
Social media is becoming a source of news for many people due to its ease and
freedom of use. As a result, fake news has been spreading quickly and easily
regardless of its credibility, especially in the last decade. Fake news
publishers take advantage of critical situations such as the Covid-19 pandemic
and the American presidential elections to affect societies negatively. Fake
news can seriously impact society in many fields including politics, finance,
sports, etc. Many studies have been conducted …
arxiv deep detection embedding fake fake news models news on
More from arxiv.org / cs.CL updates on arXiv.org
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