Publication | Open Access
Personalizing the war: Perspectives for the adoption of news recommendation algorithms in the media coverage of the conflict in Eastern Ukraine
52
Citations
44
References
2020
Year
Public OpinionNews DistributionCommunicationMedia StudiesJournalismText MiningInteractive JournalismMedia CoverageMedia ActivismInformation RetrievalSocial MediaNews RecommendationPolitical CommunicationCollaborative FilteringNews AnalyticsSocial Medium NewsContent AnalysisIndividual News FeedsMedia InstitutionsMedia BiasEastern UkraineNews CoveragePersonalized SearchGlobal MediaCold-start ProblemInformation Filtering SystemGroup RecommendersMedia PoliciesInternational CoverageNews PersonalizationMass CommunicationArtsMedia LawsPolitical ScienceNews Recommendation Algorithms
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.
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