Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity

@article{Mller2018DoNB,
  title={Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity},
  author={Judith M{\"o}ller and Damian Trilling and Natali Helberger and Bram van Es},
  journal={Information, Communication \& Society},
  year={2018},
  volume={21},
  pages={959 - 977}
}
ABSTRACT In the debate about filter bubbles caused by algorithmic news recommendation, the conceptualization of the two core concepts in this debate, diversity and algorithms, has received little attention in social scientific research. This paper examines the effect of multiple recommender systems on different diversity dimensions. To this end, it maps different values that diversity can serve, and a respective set of criteria that characterizes a diverse information offer in this particular… Expand
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