Round Corner
Department of Computer and Information Science


Fake news detection

The impact of news articles on society can not be underestimated and as the number of online news is increasing, distinguishing fake news from real news is becoming a challenge for readers. This project focuses on analyzing and tracking news articles from different news sources or social media channels in order to detect fake or misleading news.

Various machine learning techniques will be used in addition to computational linguistics and link analysis. There are English datasets available for fake news detection, though it may be necessary also to collect your own dataset.

The details of the project can be clarified with a discussion with the students.   Supervisor:  Özlem Özgöbek



Jon Atle Gulla Jon Atle Gulla
114 IT-bygget
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