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