MediaFutures Seminar: Detecting Fake News by Using Weakly Supervised Learning. Assoc. Prof. Özlem Özgöbek

Dr. Özlem Özgöbek, Associate Professor at NTNU, Norway will give a seminar on 17 March, at 13:00.

TITLE: Detecting Fake News by Using Weakly Supervised Learning
WHEN: Thursday 17 March, 13:00-14:00
WHERE: Zoom –

https://uib.zoom.us/j/64607939290?pwd=cStOdG90YWRjSW02RmN6TjAxakQwZz09

ABSTRACT:

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, I’m going to address some of these challenges and present an ongoing work on fake news detection by using weakly supervised learning.

BIO:

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.