Elias Storms

'Transparency is meant for control' and vice versa. Learning from co-designing and evaluating algorithmic news recommenders

Algorithmic systems that recommend content often lack transparency about how they come to their suggestions. One area in which recommender systems are increasingly prevalent is online news distribution. In this paper, we explore how a lack of transparency of (news) recommenders can be tackled by involving users in the…