Detecting “Fake News” Before it is Even Written / Dr. Preslav Nakov

Detecting “Fake News” Before it is Even Written

Description:

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, 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. An arguably more promising direction is to focus on fact-checking entire news outlets, which can be done in advance.

Bio of speaker:

Dr. Preslav Nakov's is a Principal Scientist at the Qatar Computing Research Institute. His research interests include computational linguistics, ‘fake news’ detection, fact-checking, machine translation, question answering, sentiment analysis, lexical semantics, Web as a corpus, and biomedical text processing. He received his PhD from the University of California at Berkeley.