Time: 13:00 - 14:00
Organized by Mediafutures
Spread and existence of fake news has been amplified by the advancements in internet and social media. Today, it is one of the most important problems that affects the society. Various artificial intelligence methods have been used to address the automatic detection of fake news. However, the complex and dynamic nature of news makes this task challenging. In this talk, Dr. Özlem Özgöbek will address some of these challenges and present ongoing work on fake news detection by using weakly supervised learning.
Dr. Özlem Özgöbek works as an associate professor at the Department of Computer Science at NTNU. Her research focuses on recommender systems, privacy issues in recommender systems and disinformation detection for online news. She is a co-founder of Norwegian Big Data Symposium (NOBIDS) and actively involved in organizing INRA workshop series since 2014.