Authoritarian News Personalisation and the 2021 Russian Parliamentary Elections

Makhortykh, Mykola; Urman, Aleksandra; Wijermars, Mariëlle (30 May 2022). Authoritarian News Personalisation and the 2021 Russian Parliamentary Elections (Unpublished). In: 72nd Annual ICA Conference - "One world, one network?!". Paris, France. 26.05.-30.05.2022.

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In this study we investigate how algorithmic news personalisation impacts dissemination of political news in the authoritarian context. To do so, we look at a major Russian news personalisation system - Yandex.Zen - which provides individualized news feeds to its massive audience (61.9 million users) and plays a key role in the regional media ecosystems, which the Russian government increasingly aims to control. Using as a case study the 2021 parliamentary elections in Russia, we conduct an agent-based audit of Zen-based personalisation system before, during, and after the election period to investigate what election-related news did it prioritize and whether this prioritization was subjected to bias (e.g., by prioritizing content favourable to the ruling party). Using four agent personas (e.g., pro-regime news reader or a news avoider), we identify the tendency of Zen to prioritize non-political content (e.g., hobby- and celebrity-related news) and content favourable to the ruling party on the eve of the elections, thus raising concerns about news personalisation serving as a form of hidden censorship in the Russian context.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Social Sciences > Institute of Communication and Media Studies (ICMB)

UniBE Contributor:

Makhortykh, Mykola, Urman, Aleksandra

Subjects:

000 Computer science, knowledge & systems
300 Social sciences, sociology & anthropology
300 Social sciences, sociology & anthropology > 320 Political science

Language:

English

Submitter:

Mykola Makhortykh

Date Deposited:

21 Jun 2022 11:30

Last Modified:

05 Dec 2022 16:20

Uncontrolled Keywords:

elections, Russia, authoritarianism, censorship, manipulation, recommendation system, Yandex

URI:

https://boris.unibe.ch/id/eprint/170676

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