Using the Potential of Social Media in Profiling and Attributing Precarious Employment of Socio-Demographic Groups in Russia
Research Article
Acknowledgments
The research was carried out at the expense of a grant from the Russian Science Foundation No. 22-28-01043
How to Cite
Shichkin I.A. Using the Potential of Social Media in Profiling and Attributing Precarious Employment of Socio-Demographic Groups in Russia. Living Standards of the Population in the Regions of Russia. 2022. Vol. 18. No. 4. P. 491-501. DOI: https://doi.org/10.19181/lsprr.2022.18.4.6 (in Russ.).
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.
Keywords:
precarious employment, precarisation of work, social media, quality of working life, social guarantees, incomes, living standards, social networks, socio-demographic characteristics
References
1. Foster G. Fishing with the Net for Research Data. British Journal of Educational Technology. 1994;25(2):91-97. DOI: 10.1111/ j.1467-8535.1994.tb00094.x.
2. Kehoe C. M., Pitkow J. E. Surveying the Territory: GVU’s Five WWW User Surveys. The World Wide Web Journal. 1996;1(3):77-84.
3. Kiesler S., Sproull L. S. Response Effects in the Electronic Survey. Public Opinion Quarterly. 1986;50(3):402-413.
4. Finholt T., Sproull L. S. Electronic Groups at Work. Organization Science. 1990;1(1):41-64. DOI: 10.1287/orsc.1.1.41.
5. Freeman L. C. The Impact of Computer-Based Communication on the Social Structure of an Emerging Social Scientific Specialty. Social Networks. 1984;6(3):201-221. DOI: 10.1016/0378-8733(84)90011-X.
6. Askitas N., Zimmermann K.F. The Internet as a Data Source for Advancement in Social Sciences. International Journal of Manpower. 2015;36(1):2-12. DOI: 10.1108/IJM-02-2015-0029.
7. Kuhn P., Skuterud M. Internet Job Search and Unemployment Durations. American Economic Review. 2004;94(1):218-232. DOI: 10.1257/000282804322970779.
8. Hershbein Brad and Lisa B. Kahn. Do Recessions Accelerate Routine-Biased Technological Change? Evidence from Vacancy Postings. American Economic Review. 2018;108(7):1737-1772. DOI: 10.1257/aer.20161570.
9. Sasser Modestino A., Shoag D., Balance J. Upskilling: Do Employers Demand Greater Skill When Skilled Workers Are Plentiful? The Review of Economics and Statistics. 2020;102(4): 793-805. DOI: 10.1162/rest_a_00835.
10. Kudlyak M., Lkhagvasuren D., Sysuyev R. Systematic Job Search: New Evidence from Individual Job Application Data. FRB Richmond Working Paper No. 12-03R. 2012. 42 p. DOI: 10.2139/ssrn.2191172.
11. Brenčič V. Search Online: Evidence from Acquisition of Information on Online Job Boards and Resume Banks. Journal of Economic Psychology. 2014;42:112-125. DOI: 10.1016/j.joep.2014.02.003.
12. Agrawal A., Tambe P. Private Equity and Workers’ Career Paths: The Role of Technological Change. The Review of Financial Studies. 2016;29:2455-2489. DOI: 10.1093/rfs/hhw025.
13. Reza Zafarani, Mohammad Ali Abbasi, and Huan Liu. Social Media Mining: An Introduction. Cambridge University Press. 2014. 320 p. ISBN: 9781107018853. DOI: 10.1017/CBO9781139088510.
14. Modern Information Technologies for Regulating Employment from Precarious to Sustainable Forms. V. N. Bobkov, I. V. Novikova, I. A. Shichkin, N. V. Bobkov. Living Standards of the Population in the Regions of Russia. 2016;4(202):47-59. DOI: 10.12737/24233. (In Russ.).
15. Castells M. The Rise of the Network Society. Oxford: Blackwell Publishing Ltd. Vol. 1, Second Edition. 2010. 656 p. ISBN: 9781444319514. DOI: 10.1002/9781444319514.
16. Precarious Employment in Russian Federation: Theory and Methodology of Detection, Assessment and Reduction. V. N. Bobkov, V. G. Kvachev, I. B. Kolmakov, I. A. Shichkin and others. Moscow: Limited Liability Company KnoRus Publishing House. 2018. 342 p. (In Russ.).
17. Kalleberg A. L. Precarious Work, Insecure Workers: Employment Relations in Transition. American Sociological Review. 2009;74:6-8. DOI: 10.1177/000312240907400101.
18. Kureková L., Miroslav B., Thum A. Using Internet Data to Analyse the Labour Market: A Methodological Enquiry. IZA Journal of Labor Economics. 2015;4:18. DOI: 10.1186/s40172-015-0034-4.
19. Ringtail: Feature Selection for Easier Nowcasting. D. Antenucci, M. J. Cafarella, M. Levenstein, M. Shapiro. WebDB. 2013; 49-54.
20. Benfield J. A., Szlemko W. J. Internet-Based Data Collection: Promises and Realities. Journal of Research Practice. 2006;2(2). Article D1. Retrieved from https://files.eric.ed.gov/fulltext/EJ805689.pdf.
21. Autor David H. Wiring the Labor Market. Journal of Economic Perspectives. 2001;15(1):25-40.
2. Kehoe C. M., Pitkow J. E. Surveying the Territory: GVU’s Five WWW User Surveys. The World Wide Web Journal. 1996;1(3):77-84.
3. Kiesler S., Sproull L. S. Response Effects in the Electronic Survey. Public Opinion Quarterly. 1986;50(3):402-413.
4. Finholt T., Sproull L. S. Electronic Groups at Work. Organization Science. 1990;1(1):41-64. DOI: 10.1287/orsc.1.1.41.
5. Freeman L. C. The Impact of Computer-Based Communication on the Social Structure of an Emerging Social Scientific Specialty. Social Networks. 1984;6(3):201-221. DOI: 10.1016/0378-8733(84)90011-X.
6. Askitas N., Zimmermann K.F. The Internet as a Data Source for Advancement in Social Sciences. International Journal of Manpower. 2015;36(1):2-12. DOI: 10.1108/IJM-02-2015-0029.
7. Kuhn P., Skuterud M. Internet Job Search and Unemployment Durations. American Economic Review. 2004;94(1):218-232. DOI: 10.1257/000282804322970779.
8. Hershbein Brad and Lisa B. Kahn. Do Recessions Accelerate Routine-Biased Technological Change? Evidence from Vacancy Postings. American Economic Review. 2018;108(7):1737-1772. DOI: 10.1257/aer.20161570.
9. Sasser Modestino A., Shoag D., Balance J. Upskilling: Do Employers Demand Greater Skill When Skilled Workers Are Plentiful? The Review of Economics and Statistics. 2020;102(4): 793-805. DOI: 10.1162/rest_a_00835.
10. Kudlyak M., Lkhagvasuren D., Sysuyev R. Systematic Job Search: New Evidence from Individual Job Application Data. FRB Richmond Working Paper No. 12-03R. 2012. 42 p. DOI: 10.2139/ssrn.2191172.
11. Brenčič V. Search Online: Evidence from Acquisition of Information on Online Job Boards and Resume Banks. Journal of Economic Psychology. 2014;42:112-125. DOI: 10.1016/j.joep.2014.02.003.
12. Agrawal A., Tambe P. Private Equity and Workers’ Career Paths: The Role of Technological Change. The Review of Financial Studies. 2016;29:2455-2489. DOI: 10.1093/rfs/hhw025.
13. Reza Zafarani, Mohammad Ali Abbasi, and Huan Liu. Social Media Mining: An Introduction. Cambridge University Press. 2014. 320 p. ISBN: 9781107018853. DOI: 10.1017/CBO9781139088510.
14. Modern Information Technologies for Regulating Employment from Precarious to Sustainable Forms. V. N. Bobkov, I. V. Novikova, I. A. Shichkin, N. V. Bobkov. Living Standards of the Population in the Regions of Russia. 2016;4(202):47-59. DOI: 10.12737/24233. (In Russ.).
15. Castells M. The Rise of the Network Society. Oxford: Blackwell Publishing Ltd. Vol. 1, Second Edition. 2010. 656 p. ISBN: 9781444319514. DOI: 10.1002/9781444319514.
16. Precarious Employment in Russian Federation: Theory and Methodology of Detection, Assessment and Reduction. V. N. Bobkov, V. G. Kvachev, I. B. Kolmakov, I. A. Shichkin and others. Moscow: Limited Liability Company KnoRus Publishing House. 2018. 342 p. (In Russ.).
17. Kalleberg A. L. Precarious Work, Insecure Workers: Employment Relations in Transition. American Sociological Review. 2009;74:6-8. DOI: 10.1177/000312240907400101.
18. Kureková L., Miroslav B., Thum A. Using Internet Data to Analyse the Labour Market: A Methodological Enquiry. IZA Journal of Labor Economics. 2015;4:18. DOI: 10.1186/s40172-015-0034-4.
19. Ringtail: Feature Selection for Easier Nowcasting. D. Antenucci, M. J. Cafarella, M. Levenstein, M. Shapiro. WebDB. 2013; 49-54.
20. Benfield J. A., Szlemko W. J. Internet-Based Data Collection: Promises and Realities. Journal of Research Practice. 2006;2(2). Article D1. Retrieved from https://files.eric.ed.gov/fulltext/EJ805689.pdf.
21. Autor David H. Wiring the Labor Market. Journal of Economic Perspectives. 2001;15(1):25-40.
Article
Received: 21.08.2022
Accepted: 23.12.2022
Citation Formats
Other cite formats:
APA
Shichkin, I. A. (2022). Using the Potential of Social Media in Profiling and Attributing Precarious Employment of Socio-Demographic Groups in Russia. Living Standards of the Population in the Regions of Russia, 18(4), 491-501. https://doi.org/10.19181/lsprr.2022.18.4.6
Section
ECONOMIC RESEARCH
