Construction of Horizontal Networks on “Migrant” Russian-Language Digital Platforms

Timoshkin, Dmitriy

doi:10.17516/1997-1370-0599

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…Timoshkin [51] further analyzed the whole spectrum of digital migration networks, and suggested that the success of these digital platforms is due to the complexity of official interfaces to communicate with state information nodes (e.g., regulations, job descriptions, normative acts), which make them unsuitable for communicating at a proper level. As a consequence, Timoshkin [51] suggests that these "migrant" digital platforms-such as social media and other information webpages-have become an "instrument that compensates for the technological imperfection of the state information hubs". Abashin [52], Chudinovskikh and Denisenko [53], and Denisenko et al [54] provide large historical surveys and analyses of labor migration in the post-Soviet territories.…”

Section: Migrationmentioning

confidence: 99%

Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg

et al. 2021

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This paper examines the suitability of Google Trends data for the modeling and forecasting of interregional migration in Russia. Monthly migration data, search volume data, and macro variables are used with a set of univariate and multivariate models to study the migration data of the two Russian cities with the largest migration inflows: Moscow and Saint Petersburg. The empirical analysis does not provide evidence that the more people search online, the more likely they are to relocate to other regions. However, the inclusion of Google Trends data in a model improves the forecasting of the migration flows, because the forecasting errors are lower for models with internet search data than for models without them. These results also hold after a set of robustness checks that consider multivariate models able to deal with potential parameter instability and with a large number of regressors.

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Section: Migrationmentioning

confidence: 99%

Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg

et al. 2021

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Social Media as a Mechanism for Developing and Reproducing Migration Strategies (Using the Example of Digital Platform Profiles of Russian-Speaking Migrants in Korea)

Timoshkin,

Pchelkina,

Samarin

et al. 2023

Sociological Journal

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This article analyzes texts written by users of Russian-language digital communication platforms on the topic of emigration to the Republic of Korea. The purpose of the study was to determine what meanings are attributed to the Republic in these texts, and how these images can affect the migration strategies of Russian-speaking migrants. The texts were sourced from relevant communities inside the largest social networks by the number of Russian-speaking users. The research method of choice was discourse analysis. Korea was regarded as an intersectional symbol that combines “migrant” texts into a single discourse. Its significance was determined by means of the authors of the messages constructing associations between the host country and certain situations and actions. It was established that pendulum migrants working in the country illegally, educational migrants, intermediaries, and communities of fans of Korean popular culture are most actively involved in shaping the image of Korea within the considered social media platforms. The messages posted by those users who focus on the shadow segment of the labor market portray Korea as a country that deals with visitors employed in this segment in as lenient a manner as possible. During the visa-free period, you can earn more here than in six months back home, without knowing the language and without having any skills, after which you can go home and return to Korea again once the money you earned has run out. This group describes the following strategy: you enter the country as a tourist for 60 days, and find a job on “samushil” or through an intermediary. Then return to Russia temporarily, or stay in Korea illegally, or use such mechanisms as political asylum and marriage of convenience. Educational migrants describe Korea as a developed, safe and wealthy country, with optimal conditions for permanent residency. Many describe the following strategy: get into the country on a student visa, receive an education, find a job in areas somehow related to servicing Russian-speaking migration flows. Some count on legalization through marriage to a member of the host community. Groups dedicated to Korean popular culture associate the Republic with a male idol, overconsumption, scenery and drama characters. Their users might describe either of the strategies mentioned above. A group of intermediaries reproduces the images conveyed by the texts produced by illegal migrants and k-pop communities, idealizing Korea and omitting the numerous difficulties and risks associated with staying there. Intermediaries essentially provide customers with the opportunity to become a part of this image by selling them paths of migration to and integration in Korea, which are often utilized by pendulum and educational migrants. According to G. Klein’s model of decision-making in a situation of uncertainty, it can be assumed that “migrant” social media containing these images contribute to the dissemination and reproduction of appropriate migration strategies, influencing the direction and content of migration flows between Korea and the CIS countries.

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Construction of Horizontal Networks on “Migrant” Russian-Language Digital Platforms

Cited by 2 publications

References 11 publications

Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg

Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg

Social Media as a Mechanism for Developing and Reproducing Migration Strategies (Using the Example of Digital Platform Profiles of Russian-Speaking Migrants in Korea)

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