Sociological Theorizing in the Digital Age: Between “Grand Theory” and “Abstracted Empiricism”

Sociological Theorizing in the Digital Age:
Between “Grand Theory” and “Abstracted Empiricism”


Dudina V.I.

Dr. Sci. (Sociol.), Prof., Faculty of Sociology, St. Petersburg State University, St. Petersburg, Russia viktoria_dudina@mail.ru

Judina D.I.

Junior Researcher, St. Petersburg State University, St. Petersburg, Russia; Sociological Institute of FCTAS RAS, St. Petersburg, Russia dartisimus@gmail.com

ID of the Article: 10812


The research was supported by RSF project No. 22-18-00261-П.


For citation:

Dudina V.I., Judina D.I. Sociological Theorizing in the Digital Age: Between “Grand Theory” and “Abstracted Empiricism”. Sotsiologicheskie issledovaniya [Sociological Studies]. 2026. No 1. P. 4-14



Abstract

The article discusses the impact of digitalization on sociological theory and its role in research. The emergence of new tools for collecting and analyzing social data, as well as new agents using these tools, poses a threat to traditional sociological approaches. The Mills’ opposition between “grand theory” and “abstracted empiricism” in sociology takes on new resonance in the context of the expansion of computational methods. On the one hand, sociological conceptualizations are losing significance, increasingly being replaced by statistics and mathematics, limiting the role of theory in research. On the other hand, the substantive development of empirical research is slowing, becoming dependent on the quality of statistical models. The need to adapt sociological theory to the conditions of the digital age and to define its place in the structure of research is examined through a comparison of concepts presented in two contemporary monographs devoted to sociological theory in the context of digitalization. The fundamental work of Ori Schwarz analyzes how digitalization can change grand sociological theory. The monograph of Gabe Ignatow seeks to overcome the abstract empiricism of digital research by rethinking the role of theory in the research process. The article concludes that in the context of digitalization and the emergence of new research tools it is necessary to rethink approaches to sociological theorizing.


Keywords
sociological theory; theorizing; grand theory; abstracted empiricism; digitalization; interaction-object duality

References

Deviatko I. F. (2021) Sociological Theory: Old Problems, New Challenges. Sotsiologicheskie issledovaniya [Sociological Studies]. No 10: 3–11. DOI: 10.31857/S013216250016657-5. (In Russ.)

Dudina V. I. (2003) Sociological knowledge in the context of epistemological legitimization: from the facts autonomy to the discipline autonomy. Zhurnal sotsiologii i sotsial’noy antropologii [The Journal of Sociology and Social Anthropology]. No 3: 40–54. (In Russ.)

Mills Ch R. (2001) The Sociological Imagination. Moscow: NOTA BENE: 264. (In Russ.).

Piketty T. (2015) Capital in the Twenty-First Century. Moscow: Ad Marginem Press: 592. (In Russ.)

Tolstova Y. N. (2015) Sociology and Computer Technology. Sotsiologicheskie Issledovaniya [Sociological Studies]. No. 8: 3–13. (In Russ.)]

Habermas J. (2022) Theory of Communicative Action. Moscow: Ves Mir: 880. (In Russ.)

Airoldi M. (2023) Why Sociological Theory Matters in the Age of Algorithms: Considerations on Ori Schwarz’s Sociological Theory for Digital Society. European Journal of Sociology/Archives Européennes de Sociologie. No. 63(3): 1–9.

Anderson C. (2008) The end of theory: The data deluge makes the scientific method obsolete. Wired magazine. No. 16(7): 16–07.

Bennett W. L., Segerberg A. (2013) The Logic of Connective Action. Cambridge: Cambridge University Press: 258.

Charmaz K. (2014) Constructing Grounded Theory: A practical Guide Through Qualitative Analysis. Sage: 416.

Clarke A. E., Friese C., Washburn R. S. (2017) Situational Analysis: Grounded Theory After the Interpretive Turn. Sage Publications: 464.

Freese L. (1980) Formal theorizing. Annual Review of Sociology. Vol. 6(1): 187–212.

Fuller S. (2009) The sociology of Intellectual Life: The career of the Mind in and Around Academy. Sage: 192.

Goldberg A. (2015) In defense of forensic social science. Big Data & Society. No. 2(2): 1–3.

Halford S., Savage M. (2017) Speaking sociologically with big data: Symphonic social science and the future for big data research. Sociology. Vol. 51(6): 1132–1148.

Hoskins A. (2011). 7/7 and connective memory: Interactional trajectories of remembering in post-scarcity culture. Memory Studies. No. 4(3): 269–280.

Ignatow G. (2020) Sociological Theory in the Digital Age. Routledge: 132.

Kitchin R. (2014) Big Data, new epistemologies and paradigm shifts. Big data & society. No. 1(1): 1–12.

Knorr-Cetina K. (2014). Intuitionist theorizing. In: Swedberg R. (ed.). Theorizing in Social Science: The Context of Discovery. Stanford University Press: 29–60.

Lizardo O. (2012). What young people should know about theory and theorizing. Perspect. Newsl. ASA Theory Sect. Vol. 34(2): 6–8.

Lizardo O. (2014). Theorizing and cognitive science. Perspect. Newsl. ASA Theory Sect. Vol. 36(1): 12: 16–17.

Lizardo O. (2020) The End of Theorists: the Relevance, Opportunities, and Pitfalls of Theorizing in Sociology Today. URL: https://osf.io/preprints/socarxiv/3ws5f_v1 (accessed 25.09.25).

McFarland D. A., Lewis K., Goldberg A. (2016). Sociology in the era of big data: The ascent of forensic social science. The American Sociologist. Vol. 47(1): 12–35.

Nelson L. K. (2017). Computational grounded theory: A methodological framework. Sociological Methods & Research. Vol. 49(1): 3–42.

Nelson L. K. (2019). To measure meaning in big data, don’t give me a map, give me transparency and reproducibility. Sociological Methodology. Vol. 49(1): 139–143.

Nelson L. K., Burk D. et al. (2018). The future of coding: A comparison of hand-coding and three types of computer-assisted text analysis methods. Sociological Methods & Research. Vol. 50(1): 202–237.

Putnam R. D. (2000). Bowling Alone: The Collapse and Revival of American Community. Simon & Schuster: 544.

Savage M., Burrows R. (2007) The coming crisis of empirical sociology. Sociology. No. 41(5): 885–899.

Surma J. (2016) Social exchange in online social networks. The reciprocity phenomenon on Facebook. Computer Communications. No. 73: 342–346.

Schwarz O. (2021) Sociological Theory for Digital Society: The Codes that Bind Us Together. John Wiley & Sons: 218.

Strauss A. (1987) Qualitative Analysis for Social Scientists. Cambridge University Press: 319.

Stinchcombe A. L. (1987) Constructing Social Theories. University of Chicago Press: 303.

Swedberg R. (2017) Theorizing in Sociological Research: A New Perspective, a New Departure? Annual Review of Sociology. Vol. 43: 189–206.

Thrift N. (2005). Knowing Capitalism. Sage: 256.

Tavory I., Timmermans S. (2014) Abductive Analysis: Theorizing Qualitative Research. University of Chicago Press: 172.

Timmermans S., Tavory I. (2012) Theory construction in qualitative research: From grounded theory to abductive analysis. Sociological Theory. Vol. 30(3): 167–186.

Wallach H. (2018) Computational social science + computer science + social data. Communications of the ACM. Vol. 61(3): 42–44.

Wilkinson R., Pickett K. (2011) The Spirit Level: Why Greater Equality Makes Societies Stronger. Bloomsbury Publishing USA: 330.

Zhao J., Wu J., Xu K. (2010) Weak ties: Subtle role of information diffusion in online social networks. Physical Review E. No. 82(1): 016105.

Content No 1, 2026