The effects of algorithmic recommendation in online systems is the subject of growing interest and, also, of sometimes conflicting results, depending on whether it is said to contribute to expand or to restrain the horizon and serendipity of users. In this session of the CIVICA Data Science Seminar Series, Prof. Camille Roth from the Centre Marc Bloch, Berlin, and French National Centre for Scientific Research will guide us through his team's research on the interplay of influences between users' preferences and content suggestion from recommendation systems of online platforms such as Youtube and Deezer and shows us that sometimes, the story of the internet is not as simple as it seems.
