How to Reach Nirvana: Yandex, News Personalisation, and the Future of Russian Journalistic Media
| Autor: | Dovbysh, Olga, Wijermars, Mari��lle, Makhortykh, Mykola |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Digital Journalism. Routledge/Taylor & Francis Group Dovbysh, Olga; Wijermars, Mariëlle; Makhortykh, Mykola (2022). How to Reach Nirvana: Yandex, News Personalisation, and the Future of Russian Journalistic Media. Digital Journalism, 10(10), pp. 1855-1874. Taylor & Francis 10.1080/21670811.2021.2024080 |
| ISSN: | 2167-082X 2167-0811 |
| DOI: | 10.1080/21670811.2021.2024080 |
| Popis: | Technological corporations and the digital services they provide play an increasingly important role in the production and dissemination of news, e.g., through media���s growing reliance on algorithmic recommender systems that perform gatekeeping functions. Bringing together three areas of interest ��� the relationships between large technological corporations and the professional news media, the deployment of recommender systems in non-democracies, and their perceived effects ��� this article investigates the relationship between Russian media outlets and Yandex. It focuses on personalised content recommendation platform Yandex.Zen and its content prioritisation program ���Nirvana.��� Combining a review of available procedural documents with interviews and auditing of the redistribution of journalistic content via Yandex.Zen, we examine how the power relations within the recommender system���s multi-stakeholder environment condition journalistic practices. Among other findings, we demonstrate that the platform disincentivizes regional and negative content, which may result in depoliticisation of the news agenda. |
| Databáze: | OpenAIRE |
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