About this EdVid

As part of the VietAI Summit 2019, Dr. Preslav Nakov gave a presentation about how AI can be used to detect fake news — before it’s even written.

Given the recent proliferation of disinformation online, there has been growing research interest in automatically debunking rumors, false claims, and “fake news”. A number of fact-checking initiatives have been launched so far, both manual and automatic, but the whole enterprise remains in a state of crisis: by the time a claim is finally fact-checked, it could have reached millions of users, and the harm caused could hardly be undone.

An arguably more promising direction is to focus on fact-checking entire news outlets, which can be done in advance. Then, we can fact-check the news before it is written by checking the trustworthiness of the outlets that publish the news.

Meet the Instructor

Dr. Nakov leads the Tanbih mega-project (http://tanbih.qcri.org), developed in collaboration with MIT. The project's aim is to build a news aggregator that limits the effect of fake news, propaganda and media bias by helping users step out of their bubble and achieve a healthy news diet. He is also the lead-PI of a QCRI-MIT collaboration project on Arabic Speech and Language Processing for Cross-Language Information Search and Fact Verification (co-PI, 2016-2018; Lead-PI, 2018-present), and he was a co-PI of another QCRI-MIT collaboration project on Speech and Language Processing for Arabic (2013-2016).

Dr. Nakov is Secretary of ACL SIGLEX and also a Secretary of ACL SIGSLAV. He is member of the editorial board of Transactions of the Association for Computational Linguistics (TACL), Computer Speech and Language (CSL), Natural Language Engineerng (NLE), AI Communications, and Frontiers in AI journals.

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