Personalizing the war: Perspectives for the adoption of news recommendation algorithms in the media coverage of the conflict in Eastern Ukraine

Makhortykh, Mykola; Bastian, Mariella (2020). Personalizing the war: Perspectives for the adoption of news recommendation algorithms in the media coverage of the conflict in Eastern Ukraine. Media, war & conflict, p. 175063522090625. Sage 10.1177/1750635220906254

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The use of algorithmically tailored individual news feeds is increasingly viewed as an important strategy for accommodating consumers’ information needs by legacy media. However, growing personalization of news distribution also raises normative concerns about the societal function of legacy media, in particular when dealing with personalization of traumatic and polarizing content. To extend the discussion of these concerns beyond the current focus on the role of news personalization in Western democracies, this article offers a conceptual assessment of perspectives for adopting personalization for conflict coverage in Ukraine and Russia, where media systems enjoy a lesser degree of press freedom. Using the coverage of the conflict in Eastern Ukraine as a case study, the article offers a conceptual framework for assessing the impact of personalization on the distribution of conflict-related news in a non-Western context.

Item Type:

Journal Article (Original Article)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Social Sciences > Institute of Mass Communication Studies

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:

1750-6352

Publisher:

Sage

Language:

English

Submitter:

Mykola Makhortykh

Date Deposited:

19 May 2020 15:31

Last Modified:

24 May 2020 02:40

Publisher DOI:

10.1177/1750635220906254

Uncontrolled Keywords:

algorithms, personalization, digital news, Ukraine, war, conflict

BORIS DOI:

10.7892/boris.141484

URI:

https://boris.unibe.ch/id/eprint/141484

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