Aristides Gionis

It has never been as easy to spread information as it is today. Via digital media, we can quickly get news on everything from world happenings to local events. At the same time, digital media have become platforms that spread prejudices and cause polarisation. 

Aristides Gionis applies data-science methods to gain a better understanding of these phenomena and to develop methods to combat the spread of prejudices and fake news. The research includes developing new algorithms that can process huge volumes of data, together with tools and methods to enable more ideas to gain exposure, increase diversity, and promote discussion. 

Gionis’ research has focused on issues such as pattern recognition, data extraction, recommendation systems, and analysis of social networks. Such work requires the development of robust methods to process large volumes of data and design new analysis tools. The objective is to be able to extract knowledge that increases our understanding, utilizes better the data collected in our daily life, and promotes transparency in today’s digital society. 

At KTH, Gionis has receiving funding from both the European Research Council (ERC), and the Wallenberg AI, Autonomous Systems and Software Program (WASP).