Bastian, Mariella; Makhortykh, Mykola; Harambam, Jaron; van Drunen, Max (2020). Explanations of news personalisation across countries and media types. Internet policy review, 9(4), pp. 1-34. Alexander von Humboldt Institute for Internet and Society 10.14763/2020.4.1504
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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.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
03 Faculty of Business, Economics and Social Sciences > Social Sciences > Institute of Communication and Media Studies (ICMB) |
UniBE Contributor: |
Makhortykh, Mykola |
Subjects: |
000 Computer science, knowledge & systems 000 Computer science, knowledge & systems > 070 News media, journalism & publishing 300 Social sciences, sociology & anthropology |
ISSN: |
2197-6775 |
Publisher: |
Alexander von Humboldt Institute for Internet and Society |
Language: |
English |
Submitter: |
Mykola Makhortykh |
Date Deposited: |
02 Nov 2020 08:31 |
Last Modified: |
05 Dec 2022 15:41 |
Publisher DOI: |
10.14763/2020.4.1504 |
Uncontrolled Keywords: |
news personalization, transparency, privacy policy, media, press, digital news |
BORIS DOI: |
10.7892/boris.147093 |
URI: |
https://boris.unibe.ch/id/eprint/147093 |
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