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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Vydané v:	Digital journalism Ročník 11; číslo 1; s. 203 - 225
Hlavní autori:	Martens, Marijn, De Wolf, Ralf, Berendt, Bettina, De Marez, Lieven
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Routledge 02.01.2023
Predmet:	algorithmic news recommenders Algorithmic recommender systems algorithms decoding folk theories in-depth interviews
ISSN:	2167-0811, 2167-082X
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