Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/225645 
Year of Publication: 
2020
Citation: 
[Journal:] Internet Policy Review [ISSN:] 2197-6775 [Volume:] 9 [Issue:] 4 [Publisher:] Alexander von Humboldt Institute for Internet and Society [Place:] Berlin [Year:] 2020 [Pages:] 1-34
Publisher: 
Alexander von Humboldt Institute for Internet and Society, Berlin
Abstract: 
News outlets worldwide increasingly adopt user- and system-driven personalisation to individualise their news delivery. Yet, the technical implementation of news personalisation systems, in particular the one relying on algorithmic news recommenders (ANRs) and tailoring individual news suggestions with the help of user data, often remains opaque. In our article, we examine how news personalisation is used by quality and popular media in three countries with different media accountability infrastructures - Brazil, the Netherlands, and Russia - and investigate how information about personalisation usage is communicated to the news readers via privacy policies. Our findings point out that news personalisation systems are predominantly treated as black boxes that indicate a significant gap between practice and theory of algorithmic transparency, in particular in the non-EU context.
Subjects: 
News personalisation
Privacy policies
Transparency
Accountability
Comparative journalism research
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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