Russian Sociology in the Context of Society Digitalization: Results of a Corpus Analysis of Scientific Texts

 
PIIS013216250022128-3-1
DOI10.31857/S013216250022128-3
Publication type Article
Status Published
Authors
Occupation: Senior Research Fellow
Affiliation: Institute for Socio-Economic and Energy Problems of the North, Komi Science Centre, Ural Branch of the RАS
Address: Syktyvkar, Russia
Journal nameSotsiologicheskie issledovaniya
EditionIssue 4
Pages39-50
Abstract

Using the analysis of a corpus of texts from eight leading Russian sociological journals, the article examines the impact of the digitalization of society on sociology in 2000-2021. Frequency analysis of 13.8 thousand scientific texts tracked the introduction of concepts related to digitalization into scientific circulation. The article reveals the differences between the journals, due to their editorial policy in the selection of articles. Through content analysis of texts, the author studied the experience of using digital social platforms as a source of data and an object of reflection. The text shows that they are being used more and more over time, and since 2019, one in five publications mentions digital platforms. The study confirmed that due to the introduction of new digital technologies, the frequency and complexity of the software tools used by sociologists is increasing. Since 2015, there has been an increase in the number of studies whose authors develop their own algorithms for data collection and analysis. The identified trends are likely to continue in the future, as all the indicators considered show a steady increase over time. In the conclusions of the article, the author formulates the prospects for studying the patterns of development of sociological science using the methods of corpus linguistics.

Keywordsdigitalization, tools, digital platforms, data sources, Russian sociology, corpus linguistics
AcknowledgmentThe paper has been prepared with the support of the RSF, the project No 21-78-00081.
Received02.05.2023
Publication date12.07.2023
Number of characters23244
Cite  
100 rub.
When subscribing to an article or issue, the user can download PDF, evaluate the publication or contact the author. Need to register.

Number of purchasers: 0, views: 223

Readers community rating: votes 0

1. Billari F., Zagheni E. (2017) Big Data and population processes: A revolution? SIS 2017. Statistics and data science: new challenges, new generations. Florence: Firenze University Press: 167–178. DOI: 10.36253/978-88-6453-521-0.

2. Bogdanov M.B., Smirnov I.B. (2021) Opportunities and limitations of digital footprints and machine learning methods in sociology. Monitoring obshchestvennogo mneniya: ekonomicheskiye i sotsial'nyye peremeny [Monitoring of Public Opinion: Economic and Social Changes]. No. 1: 304–328. DOI: 10.14515/monitoring.2021.1.1760. (In Russ.)

3. Boullier D. (2017) Big data challenges for the social sciences: from society and opinion to replications. ISA eSymposium for Sociology. Vol. 7 (2). URL: https://www.boullier.bzh/wp-content/uploads/EBul-Boullier-Jul2017.pdf (accessed 01.06.2022).

4. Brayne S. (2017) Big data surveillance: The case of policing. American Sociological Review. Vol. 82 (5): 977–1008. DOI: 10.1177/0003122417725865.

5. Bulycheva E.E., Maltseva D.V. (2020) Highlighting key topics in sociology: A glance through the prism of citation network analysis. Monitoring obshchestvennogo mneniya: ekonomicheskiye i sotsial'nyye peremeny [Monitoring of Public Opinion: Economic and Social Changes]. No. 6: 113–140. DOI: 10.14515/monitoring.2020.6.971. (In Russ.)

6. Byzov A. (2019) Text mining in social sciences. Sotsiologiya: metodologiya, metody, matematicheskoye modelirovaniye [Sociology: methodology, methods, mathematical modeling]. No. 49: 131–160. (In Russ.)

7. Christin A. (2018) Counting Clicks: Quantification and Variation in Web Journalism in the United States and France. American Journal of Sociology. Vol. 123 (5): 1382–1415. DOI: 10.1086/696137.

8. Dimaggio P., Hargittai E. (2021) From the ‘digital divide’ to ‘digital inequality’: Studying Internet use as penetration increases. Working Paper #15. Princeton University: Center for Arts and Cultural Policy Studies, 2001.

9. Dudina V.I. (2016) Digital data potentialities for development of sociological knowledge. Sotsiologicheskie issledovaniya [Sociological Studies]. No. 9: 21–30. (In Russ.)

10. Dudina V.I. (2021) Reassembling sociology: Digital turn and searching for new theoretical optics. Sotsiologicheskie issledovaniya [Sociological Studies]. No. 11: 3–11. DOI: 10.31857/S013216250016829-4. (In Russ.)

11. Dudina V.I., Iudina D.I. (2017) Mining opinions on the Internet: can the text analysis methods replace public opinion polls? Monitoring obshchestvennogo mneniya: ekonomicheskiye i sotsial'nyye peremeny [Monitoring of Public Opinion: Economic and Social Changes]. No. 5: 63–78. DOI: 10.14515/monitoring.2017.5.05.

12. Golder S.A., Macy M.W. (2014) Digital footprints: opportunities and challenges for online social research. Annual Review of Sociology. Vol. 40 (1): 129–152. DOI: 10.1146/annurev-soc-071913-043145.

13. Guba K.S. (2019) To be the flagship journal of Russian sociology: When the mission matters. Ekonomicheskaya sotsiologiya [Journal of Economic Sociology]. Vol. 20 (4): 14–38. DOI: 10.17323/1726-3247-2019-4-14-38. (In Russ.)

14. Ignatow G. (2015) Theoretical foundations for digital text analysis. Journal for the Theory of Social Behaviour. Vol. 46 (1): 104–120. DOI: 10.1111/jtsb.12086.

15. Katzenbach C., Bächle T.C. (2019) Defining concepts of the digital society. Internet Policy Review. Vol. 8 (4). DOI: 10.14763/2019.4.1430.

16. Kintcharova A.V., Sokolov M.M. (2015) Research practices of Russian sociologists. Sotsiologicheskie issledovaniya [Sociological Studies]. No. 6: 58–68. (In Russ.)

17. Kitchin R. (2014) Big data, new epistemologies and paradigm shifts. Big Data & Society. Vol. 1 (1): 1–12. DOI: 10.1177/2053951714528481.

18. Kolozaridi P.V., Makusheva M.O. (2018) The Internet as a problematic field of study in social sciences. Monitoring obshchestvennogo mneniya: ekonomicheskiye i sotsial'nyye peremeny [Monitoring of Public Opinion: Economic and Social Changes] No. 1: 1–11. DOI: 10.14515/monitoring.2018.1.01. (In Russ.)

19. Korobov M. (2015) Morphological analyzer and generator for Russian and Ukrainian languages. International Conference on Analysis of Images, Social Networks and Texts. Cham: Springer: 320–332.

20. Lazer D., Radford J. (2017) Data ex machina: Introduction to big data. Annual Review of Sociology. Vol. 43 (1): 19–39. DOI: 10.1146/annurev-soc-060116-053457.

21. Lupton D. (2015) Digital sociology. London, New York: Routledge.

22. Smirnov A.V. (2021) Digital society: Theoretical model and Russian reality. Monitoring obshchestvennogo mneniya: ekonomicheskiye i sotsial'nyye peremeny [Monitoring of Public Opinion: Economic and Social Changes]. No. 1: 129–153. DOI: 10.14515/monitoring.2021.1.1790. (In Russ.)

23. Smirnov V.A. (2015) Sociologist`s new competences in the times of “big data”. Monitoring obshchestvennogo mneniya: ekonomicheskiye i sotsial'nyye peremeny [Monitoring of Public Opinion: Economic and Social Changes]. No. 2: 44–54. DOI: 10.14515/monitoring.2015.2.04. (In Russ.)

24. Sokolov M.M. (2021) Academic recognition in Russian sociology: a study using reputation surveys. Sotsiologicheskie issledovaniya [Sociological Studies]. No. 3: 44–56. (In Russ.)

25. Srnicek N. (2020) Platform capitalism. Moscow: VSHE. (In Russ.).

26. Tatarova G.G., Kuchenkova A.V. Methodological issues on the pages of the journal “Sociological studies” (2000–2018). Sotsiologicheskie issledovaniya [Sociological Studies]. No. 7: 47–56. (In Russ.).

27. Tolstova Yu. N. (2015) Sociology and computer technologies. Sotsiologicheskie issledovaniya [Sociological Studies]. No. 8: 3–13. (In Russ.).

28. Zhuravleva E. Yu. (2012) Epistemic status of digital data in modern scientific research. Voprosy Filosofii [Questions of Philosophy]. No. 2: 113–123. (In Russ.).

29. Zinn J.O. (2020) The UK at risk. A corpus approach to social change 1785–2009. Cham: Palgrave Macmillan. DOI: 10.1007/978-3-030-20238-5.

Система Orphus

Loading...
Up