Decoding Algorithms: Exploring End-Users' Mental Models of the Inner Workings of Algorithmic News Recommenders

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 (AN...

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Bibliographic Details

Published in:	Digital journalism Vol. 11; no. 1; pp. 203 - 225
Main Authors:	Martens, Marijn, De Wolf, Ralf, Berendt, Bettina, De Marez, Lieven
Format:	Journal Article
Language:	English
Published:	Routledge 02.01.2023
Subjects:	algorithmic news recommenders Algorithmic recommender systems algorithms decoding folk theories in-depth interviews
ISSN:	2167-0811, 2167-082X
Online Access:	Get full text
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