Decoding Algorithms: Exploring End-Users' Mental Models of the Inner Workings of Algorithmic News Recommenders Interuniversity Microelectronics Centre KU Leuven Ghent University
Algorithmic recommenders are omnipresent in our daily lives. While a multitude of studies focus on how people use algorithmic recommenders, far too little attention has been devoted to how they perceive and understand these complex systems. In this study we focus on Algorithmic News Recommenders (ANR). Drawing on 26 semi-structured interviews, we investigated how laypeople decode Google News and Facebook News. In our method we employ the ...