Explanations of news personalisation across countries and media types

Mariella Bastian · Mykola Makhortykh · Jaron Harambam · Max Z. van Drunen

21 citations0/0 files storedInternet Policy Review

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Ethics and Social Impacts of AI Recommender Systems and Techniques Media Influence and Politics

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.

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References

2009Document Analysis as a Qualitative Research Method 2004Comparing Media Systems 2011The Filter Bubble: What the Internet Is Hiding from You 2015The Black Box Society 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms 2016The algorithmic imaginary: exploring the ordinary affects of Facebook algorithms 2019The Brussels Effect 2017Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation

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