Aleksandra Urman_bw

Aleksandra Urman

Aleksandra Urman is a postdoctoral researcher with Social Computing Group, University of Zurich, Switzerland. She holds a PhD in Social Sciences from the University of Bern (Switzerland) where she defended her dissertation on comparative aspects of political polarization on online platforms. She also holds a Master’s degree in Political Science from Central European University. In her current research, Urman primarily examines the functionalities of algorithmic systems such as web search engines and news recommender systems and various aspects of political communication on social media like computational propaganda, radicalization and polarization. Examples of her recent studies on these topics include the examinations of the far-right communications on Telegram, the ways algorithmic information distribution employed by web search engines affects the spread of conspiracy theories and election-related (mis)information online, and analysis of the factors that influence the algorithmic personalization on TikTok.

Data scientists. Male programmer using laptop analyzing and developing in various information on futuristic virtual interface screen. Algorithm. marketing and deep learning of artificial intelligence
Artificial intelligence makes it possible today to distinguish profiles based on user data, on the basis of which administrators of social networks and large media companies know which groups are sensitive to which types of information. However, how transparent and correct is this information?

A healthy public debate about important societal challenges requires a common and scientifically sound basis.

Bart Pattyn

Co-Chair LIAS and member Board LIAS Foundation