Abstract

In the past three decades have seen the rapid development of Internet and its wide distribution across countries and socio-demographic groups. The use of social media for researches may be really useful, as users of media platforms often post data or enter queries related with their current work or job search. The research presents the results of an analysis of data found in social media and open information resources related to precarious employment in Russia. There was used thesaurus technology in the processing of information which consists of scientific articles and public discussions. Automatic monitoring of news, posts and discussions of precarious employment issue was carried out. Identification of precarious employment actors were carried out using the Big Data processing technology. The gender, age and professional connection of precarious employment actors, as well as their geographical location in Russia, has been revealed. The author evaluates the scale of precarious employment in the context of Russian federal districts. There are factors, attributes and consequences of labor precarisation in Russia are identified in result of social media data analysis. Sociodemographic, professional and regional profile of a subject with high risks of precarious employment in Russia has been compiled. Based on the monitoring of references to precarious employment in social networks, blogs and public information resources, its manifestations were systematized in the context of a negative impact on the quality of working life, employment incomes and households’ standard of living.

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