Studies of political polarization in social media demonstrate mixed evidence for whether discussions necessarily evolve into left and right ideological echo chambers. Recent research shows that, for political and issue-based discussions, patterns of user clusterization may differ significantly, but that cross-cultural evidence of the polarization of users on certain issues is close to non-existent. Furthermore, most of the studies developed network proxies to detect users’ grouping, rarely taking into account the content of the Tweets themselves. Our contribution to this scholarly discussion is founded upon the detection of polarization based on attitudes towards political actors expressed by users in Germany, the USA and Russia within discussions on inter-ethnic conflicts. For this exploratory study, we develop a mixed-method approach to detecting user grouping that includes: crawling for data collection; expert coding of Tweets; user clusterization based on user attitudes; construction of word frequency vocabularies; and graph visualization. Our results show that, in all the three cases, the groups detected are far from being conventionally left or right, but rather that their views combine anti-institutionalism, nationalism, and pro- and anti-minority views in varying degrees. In addition to this, more than two threads of political debate may co-exist in the same discussion. Thus, we show that the debate that sees Twitter as either a platform of ‘echo chambering’ or ‘opinion crossroads’ may be misleading. In our opinion, the role of local political context in shaping (and explaining) user clusterization should not be under-estimated.

The outbreak of the COVID-19 pandemic has become a stress test for science journalism worldwide. In this paper, we explore the under-researched topic of the perceived role enactment of science journalists in non-democratic settings in the example of COVID-19 coverage in Russia. Drawing on 23 semi-structured interviews with Russian science journalists from pro-state and independent media outlets, we examine their perceived role enactment and politicization of reporting about the pandemic in Russia. We identify three major types of limitations of a political nature reported by journalists: (1) editorial guidelines; (2) accessibility and self-censorship of sources; (3) self-censorship. Manifestation of these three types of limitations differ depending on the political orientation of media outlets as well as on the aspect of the topic. Based on the findings, we discuss the influence of universal trends and contextual factors on science journalism covering the pandemic.

Russian-speaking diaspora has spread across the world during the last century and plays a significant role in cultural and political life of the host countries. But its virtual presence remains heavily understudied; it is only Russian-speaking news websites that have received some scholarly attention. This study aims at estimating the globality of mass self-communication of Russian emigrants on Instagram in the context of virtual diaspora studies as a new form of imagined communities. Instagram communication of emigrants illustrates how the nature of mass self-communication influences the nature of ties between diaspora members. We confirm the global scale of ties that are developed by the Russian-speaking “InstaMigrants” by network analysis. We also show that such seemingly apolitical publics possess a potential for politicization of everyday life and migration experience in unconventional ways.