Social Psychology and Society
2026. Vol. 17, no. 1, 166–182
doi:10.17759/sps.2026170110
ISSN: 2221-1527 / 2311-7052 (online)
The relevance index of the professional burnout topic
Abstract
Context and relevance. Occupational burnout is a significant socio-economic problem that requires regular monitoring. The questionnaires traditionally used for the measurement of burnout are labour-intensive and irregular, making them unsuitable for macro-level monitoring. By analogy with media-based indices in other fields, this study treats the intensity of burnout mentions as an indicator of the its public salience, with the aim of contributing to a more comprehensive understanding of the phenomenon.
Objective. The objective is to develop and test a media-based index of burnout salience in Russian news, and to assess its applicability for social monitoring and interregional comparisons.
Methods and materials. Data were obtained from the Medialogia analytics system, which covers approximately 105000 media outlets. The sample spans 2015–2025 and comprises over 30000 publications. To test the robustness of the index, alternative indices are constructed: one based on top outlets and one restricted to psychology-related news. Additionally, we conduct a regional analysis (normalised by population) and perform topic modelling of headlines using BERTopic.
Results. During the study period, the index increased steadily, going beyond its initial level by more than 100 times by 2025. Peaks were observed in July 2019, April and December 2021, and September–November 2024. External validation shows strong agreement with user interest and alternative index specifications. We identified leading regions based on the intensity of mentions and thematic clusters of coverage.
Conclusions. The index is suitable for rapid social monitoring and interregional comparisons, and is based on a transparent, scalable methodology. This paper outlines potential avenues for further use by researchers, practitioners and public authorities.
General Information
Keywords: professional burnout, media index, mass media, monitoring of public interest, thematic modeling, regional analysis, psychological well-being, agenda-setting theory
Journal rubric: Methodological Tools
Article type: scientific article
DOI: https://doi.org/10.17759/sps.2026170110
Funding. The study was supported by the Russian Science Foundation, project number 25-18-01037, https://rscf.ru/project/25-18-01037/.
Received 09.09.2025
Revised 21.11.2025
Accepted
Published
For citation: Zavertiaeva, M.A., Naidenova, I.N., Kireecheva, A.D. (2026). The relevance index of the professional burnout topic. Social Psychology and Society, 17(1), 166–182. (In Russ.). https://doi.org/10.17759/sps.2026170110
© Zavertiaeva M.A., Naidenova I.N., Kireecheva A.D., 2026
License: CC BY-NC 4.0
References
- Бойко, В.В. (1996). Диагностика уровня эмоционального выгорания. URL: http://new.academy.edu.by/files/documents/VRVUO/Boiko-Ilin_Diagnostika.pdf (дата обращения: 30.01.2026).
Boiko, V.V. (1996). Diagnostika urovnya emotsional'nogo vygoraniya. (In Russ.). URL: http://new.academy.edu.by/files/documents/VRVUO/Boiko-Ilin_Diagnostika.pdf (viewed 30.01.2026). - Водопьянова, Н., Старченкова, Е. (2008). Синдром выгорания. СПб.
Vodop'yanova, N., Starchenkova, E. (2008). Sindrom vygoraniya. Petersburg. (In Russ.). - Adelman, R.C., Verbrugge, L.M. (2000). Death Makes News: The Social Impact of Disease on Newspaper Coverage. Journal of Health and Social Behavior, 41(3), 347—367. https://doi.org/10.2307/2676325
- Aguilera, A.M., Fortuna, F., Escabias, M., Battista, T.D. (2021). Assessing Social Interest in Burnout Using Google Trends Data. Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 156(2), 587—599.
- Baker, S.R., Bloom, N., Davis, S.J. (2016). Measuring Economic Policy Uncertainty. The Quarterly Journal of Economics, 131(4), 1593–1636. https://doi.org/10.1093/qje/qjw024
- Bloom, N., Bond, S., Van Reenen, J. (2007). Uncertainty and investment dynamics. The Review of Economic Studies, 74(2), 391— https://doi.org/10.1111/j.1467-937X.2007.00426.x
- Canu, I.G., Marca, S.C., Dell’Oro, F., Balázs, Á., Bergamaschi, E., Besse, C., Bianchi, R., Bislimovska, J., Bjelajac, A.K., Bugge, M. (2021). Harmonized definition of occupational burnout: A systematic review, semantic analysis, and Delphi consensus in 29 countries. Scandinavian Journal of Work, Environment & Health, 47(2), 95. https://doi.org/10.5271/sjweh.3935
- Dam, A. van. (2021). A clinical perspective on burnout: Diagnosis, classification, and treatment of clinical burnout. European Journal of Work and Organizational Psychology. https://doi.org/10.1080/1359432X.2021.1948400
- Deephouse, D.L. (2000). Media Reputation as a Strategic Resource: An Integration of Mass Communication and Resource-Based Theories. Journal of Management. https://doi.org/10.1177/014920630002600602
- Demerouti, E., Adaloudis, N. (2024). Addressing Burnout in Organisations: A Literature Review. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4718143
- Grootendorst, M. (2022). BERTopic: Neural topic modeling with a class-based TF-IDF procedure. https://doi.org/10.48550/arXiv.2203.05794
- Gulen, H., Ion, M. (2016). Policy Uncertainty and Corporate Investment. Review of Financial Studies, 29(3), 523— https://doi.org/10.1093/rfs/hhv050
- Hopkins, D.J., King, G. (2010). American Journal of Political Science | MPSA Journal | Wiley Online Library. American Journal of Political Science, 54(1), 229— https://doi.org/10.1111/j.1540-5907.2009.00428.x
- Ježková Petrů, G., Zychová, K., Drahotová, K., Kuralová, K., Kvasničková Stanislavská, L., Pilař, L. (2023). Identifying the communication of burnout syndrome on the Twitter platform from the individual, organizational, and environmental perspective. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1236491
- Kaschka, W.P., Korczak, D., Broich, K. (2011). Burnout: A Fashionable Diagnosis. Deutsches Ärzteblatt International, 108(46), 781—787. https://doi.org/10.3238/arztebl.2011.0781
- Kurpicz-Briki, M., Merhbene, G., Puttick, A., Souissi, S.B., Bieri, J., Müller, T.J., Golz, C. (2024). Using Natural Language Processing to find Indication for Burnout with Text Classification: From Online Data to Real-World Data. https://doi.org/10.48550/arXiv.2409.14357
- Leetaru, K., Schrodt, P.A. (2013). GDELT: Global Data on Events, Location and Tone. ISA Annual Convention. https://doi.org/10.1.1.686.6605
- Martinez, M.F., O’Shea, K.J., Kern, M.C., Chin, K.L., Dinh, J.V., Bartsch, S.M., Weatherwax, C., Velmurugan, K., Heneghan, J.L., Moran, T.H., Scannell, S.A., John, D.C., Shah, T.D., Petruccelli, S.A., White, C., Dibbs, A.M., Lee, B.Y. (2025). The Health and Economic Burden of Employee Burnout to U.S. Employers. American Journal of Preventive Medicine, 68(4), 645—655. https://doi.org/10.1016/j.amepre.2025.01.011
- Maslach, C., Jackson, S.E. (1981). The measurement of experienced burnout. Journal of Organizational Behavior, 2(2), 99—113. https://doi.org/10.1002/job.4030020205
- McCombs, M.E., Shaw, D.L. (1972). The agenda-setting function of mass-media. Public Opinion Quarterly, 36(2), 176—187. https://doi.org/10.1086/267990
- Merhbene, G., Nath, S., Puttick, A.R., Kurpicz-Briki, M. (2022). BurnoutEnsemble: Augmented Intelligence to Detect Indications for Burnout in Clinical Psychology. Frontiers in Big Data, 5. https://doi.org/10.3389/fdata.2022.863100
- Schaufeli, W. (2018). Burnout in Europe: Relations with national economy, governance, and culture (Research Unit Occupational & Organizational Psychology and Professional Learning). KU Leuven. URL: https://www.wilmarschaufeli.nl/publications/Schaufeli/500.pdf (viewed: 30.01.2026).
- Vňuková, M.S., Sebalo, I., Brečka, T., Anders, M., Ptáček, R. (2023). Burnout syndrome in the Czech Republic: The decreasing trend over the years. Frontiers in Public Health, 11. https://doi.org/10.3389/fpubh.2023.1099528
- Wlezien, C., Soroka, S. (2024). Media Reflect! Policy, the Public, and the News. American Political Science Review, 118(3), 1563—1569. https://doi.org/10.1017/S0003055423000874
- Wu, J., Ma, J., Wang, Y., Wang, J. (2021). Understanding and Predicting the Burst of Burnout via Social Media. Proceedings of the ACM on Human-Computer Interaction. https://doi.org/10.1145/3434174
- Zhang, X. (2016). Estimating the Weights of Media Tonalities in the Measurement of Media Coverage of Corporations. Communication Research, 45(7). https://doi.org/10.1177/0093650215626977
Information About the Authors
Contribution of the authors
Marina A. Zavertiaeva — research ideas; index methodology, literature review preparation, writing introduction and conclusion, monitoring research implementation.
Iuliia N. Naidenova — research ideas; index methodology, literature review preparation, writing introduction and conclusion, monitoring research implementation.
Anastasiia D. Kireecheva — data collection; calculation of indices; drafting the methodology and results sections; manuscript formatting.
All authors participated in the discussion of the results and approved the final text of the manuscript.
Conflict of interest
The authors declare no conflict of interest.
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