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Public perception of doctoral education in the digital space: An analysis of narratives from social media and online forums

Ya.O. Oparina
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UDC 378+316.6
DOI 10.20339/AM.12-25.031

 

Yana O. Oparina, Assistant at the Department of Pedagogy of the School of the Institute of Pedagogy, Herzen State Pedagogical University of Russia, Saint Petersburg, Russia, https://orid.org/0000-0003-4231-7447, e-mail: yana.oparina@mail.ru

 

Doctoral education is traditionally viewed as an important stage in the preparation of future academic and research personnel; however, public perceptions shaped within digital environments differ significantly from formal normative models. The aim of this study is to identify the features of public perceptions of doctoral education in the digital space and to analyse the thematic structure and emotional tone of discussions emerging in Russian- and English-language social media. The study is based on a qualitative content analysis of 156 posts from social networks and online forums (both Russian and English-speaking), involving semantic coding and identification of dominant narrative patterns. The findings show that the majority of messages are neutral (~68%) and consist mainly of announcements, requests for information, and calls for advice. Most discussions focus on admission to doctoral programmes, future career decision-making and choices under uncertainty. Doctoral education in digital discourse is conceptualised primarily not as a stable academic trajectory, but as a space of choice, risk, and weighing long-term consequences. The results were compared with international research, which made it possible to identify intersections between the Russian and global contexts. The theoretical significance of the study lies in expanding the understanding of social perceptions of doctoral education and the role of digital communication in shaping them. The practical significance is associated with the potential use of the findings to strengthen support measures for doctoral students and to improve policy and management decisions in the field of academic personnel development.

Keywords: doctoral education, public perception, social media, semantic analysis

 

References in Russian literature

1.       Federal Law of December 29, 2012 No. 273-ФЗ “On Education in the Russian Federation”.

2.       Emelyanenkov, A. (2016, December 14). The Higher Attestation Commission and the Ministry of Education and Science disagreed on the issue of mandatory dissertation defense. Rossiyskaya Gazeta. Retrieved November 2, 2025. URL: https://rg.ru/2016/12/14/vak-i-minobrnauki-razoshlis-po-voprosu-obiazatelnoj-zashchity-dissertacii.html (accessed on: 02.11.2025).

3.       Federal State Statistics Service. Key indicators of training highly qualified personnel and research staff in doctoral studies in the Russian Federation. Retrieved November 2, 2025. URL: https://rosstat.gov.ru/statistics/education (accessed on: 02.11.2025).

4.       Number of dissertations in Russia decreased by 22% over the past year. (2024, February 21). RBC. Retrieved November 2, 2025, from https://www.rbc.ru/technology_and_media/21/02/2024/65d49b5f9a79474bfaa9e935 (accessed on: 02.11.2025).

5.       Nefedova, A.I., & Dyachenko, E.L. (2019) The reform of doctoral education in Russia reflected in global trends. Mir Rossii, 28 (4), 92–111. https://doi.org/10.17323/1811-038X-2019-28-4-92-111

6.       Zerchaninova, T.E., Tarbeeva, I.S. (2019) Problems of scientific and educational activities of doctoral students. Research Result. Sociology and Management, 5 (3). https://doi.org/10.18413/2408-9338-2019-5-3-0-3

7.       Bagdasaryan, N.G., Balueva, T.V. (2022) Doctoral education at a regional university: problems and solutions. Monitoring of Public Opinion: Economic and Social Changes, (5). https://doi.org/10.14515/monitoring.2022.5.2200

8.       Zhuchkova, S.V., Nefedova, A.I., Terentyev, E. A., Smirnov, N.M. (2025). Barriers in dissertation preparation in Russian doctoral programs. Moscow: National Research University Higher School of Economics Press, Institute of Education Press. (Contemporary Education Analytics No. 2 (85)).

9.       Bedny, B.I., Voronin, G.L., Mironos, A.A., Rybakov, N.V. (2021). Barriers to the academic degree: post-doctoral challenges. University Management: Practice and Analysis, 25 (1), 35–48.

10.     Bedny, B.I., Rybakov, N.V., Zhuchkova, S.V. (2022). The impact of institutional transformations on the effectiveness of Russian doctoral education. Higher Education in Russia, 3 (11), 9–29.

11.     Mironova, A.V., Streltsova, E.A. (2025). Effectiveness of doctoral education: searching for a new evaluation approach. Analytical report. Moscow: ISSEK NRU HSE. Retrieved November 2, 2025. URL: https://issek.hse.ru/news/1081326856.html

12.     Bekova, S.K. (2020). Doctoral student well-being: a review of research and practices. Monitoring of Public Opinion: Economic and Social Changes, (3), 422–442. https://doi.org/10.14515/monitoring.2020.3.1635

13.     Bekova, S.K. (2022). Combining university studies and work: from undergraduate to doctoral education. Information bulletin. Moscow: NRU HSE Press.

 

International literary sources

  1. Levecque, K., Anseel, F., De Beuckelaer, A., Van der Heyden, J., Gisle, L. (2017) Work organization and mental health problems in PhD students. Research Policy. Vol. 46. No. 4. Pp. 868–879. DOI: 10.1016/j.respol.2017.02.008
  2. Marais, G.A., Shankland, R., Haag, P., Fiault, R., Juniper, B. (2018) A survey and a positive psychology intervention on French PhD student well-being. International Journal of Doctoral Studies. Vol. 13. Pp. 109–138. DOI: 10.28945/3948
  3. Woolston, C. (2019) PhDs: the tortuous truth. Nature. Vol. 575. No. 7782. Pp. 403–406.
  4. Evans, T.M., Bira, L., Gastelum, J.B., Weiss, L.T., Vanderfordm, N.L. (2018) Evidence for a mental health crisis in graduate education. Nature Biotechnology. Vol. 36. No. 3. Pp. 282–284. DOI: 10.1038/nbt.4089
  5. Woolston, C. (2015) Graduate survey: Uncertain futures. Nature. Vol. 526. No. 7574. Pp. 597–600.
  6. Chakraverty, D. (2020) PhD student experiences with the impostor phenomenon in STEM. International Journal of Doctoral Studies. Vol. 15. Pp. 159–180. DOI: 10.28945/4513
  7. Cyranoski, D., Gilbert, N., Ledford, H., Nayar, A., Yahia, M. (2011) Education: The PhD factory. Nature. Vol. 472. No. 7343. Pp. 276–279. DOI: 10.1038/472276a
  8. Gemme, B., Gingras, Y. (2012) Academic careers for graduate students: a strong attractor in a changed environment. Higher Education. Vol. 63. No. 6. Pp. 667–683. DOI: 10.1007/s10734-011-9460-2
  9. Byrom, N.C., Dinu, L., Kirkman, A., Hughes, G. (2020) Predicting stress and mental wellbeing among doctoral researchers. Journal of Mental Health. (online). DOI: 10.1080/09638237.2020.1818196
  10. Woolston, C. (2017) Graduate survey: A love–hurt relationship. Nature. Vol. 550. No. 7677. Pp. 549–552.
  11. Malik, A., Heyman-Schrum, C., Johri, A. (2019) Use of Twitter across educational settings: a review of the literature. International Journal of Educational Technology in Higher Education. Vol. 16. No. 1. Pp. 1–22. DOI: 10.1186/s41239-019-0166-x
  12. Dowling, R., Wilson, M. (2017) Digital doctorates? An exploratory study of PhD candidates’ use of online tools. Innovations in Education and Teaching International. Vol. 54. No. 1. Pp. 76–86. DOI: 10.1080/14703297.2015.1058720
  13. Bennett, E., Folley, S. (2014) A tale of two doctoral students: social media tools and hybridised identities. Research in Learning Technology. Vol. 22. 23791. DOI: 10.3402/rlt.v22.23791
  14. Gomez-Vasquez, L., Romero-Hall, E. (2020) An exploration of a social media community: The case of #AcademicTwitter. International Conference on Human-Computer Interaction. Pp. 83–99. DOI: 10.1007/978-3-030-60734-4_7
  15. Ferguson, H., Wheat, K.L. (2015) Early career academic mentoring using Twitter: the case of #ECRchat. Journal of Higher Education Policy and Management. Vol. 37, No. 1. Pp. 3–13. DOI: 10.1080/1360080X.2014.991533
  16. Lopez, J.C.A.D., Collignon-Delmar, S., Benoit, K., Matsuo, A. (2017) Predicting the Brexit vote by tracking and classifying public opinion using Twitter data. Statistics, Politics and Policy. Vol. 8. No. 1. Pp. 85–104. DOI: 10.1515/spp-2017-0006
  17. Guha, P., Pande, D. (2021) A sentiment analysis of the PhD experience evidenced on Twitter. International Journal of Doctoral Studies. Vol. 16. Pp. 513–531. DOI: 10.28945/4813