The Making (Sense) of Traces. Connecting Ginzburg to Digital Sociology
DOI:
https://doi.org/10.60923/issn.1971-8853/23312Keywords:
Indiciary paradigm, Sociological ichnology, Algorithmic awareness, Digital footprints, Digital sociologyAbstract
This article addresses the fundamental methodological challenges posed by trace-based empirical materials, particularly digital footprints, within sociological inquiry. Drawing on Ginzburg’s Indiciary Paradigm, the analysis contrasts its retrospective ascent (Manifest-to-Latent) with the prospective logic of the Galilean and Lazarsfeldian models. The article formalizes the core methodological hurdle of zero-agency data: the entire burden of meaning attribution rests upon the researcher. Then, the framework of ichnology is applied to sociological inquiry, with reference to that of digital footprints. This framework defines the trace’s meaning as the interaction between the trace maker and the depositional context (algorithmic design). We argue that, in the digital realm, the methodological complexity introduced by algorithmic recursivity and user awareness of algorithms renders the pursuit of “genuine” traces counterproductive. Instead, following the lesson of the indicial paradigm means accepting the strategically contaminated trace as a minute, manifest clue of complex and latent socio-psychological objects.
References
Airoldi, M. (2022). Macchine socializzate e riproduzione tecno-sociale: nuove frontiere sociologiche. Sociologia Italiana, 19–20, 111–121. https://doi.org/10.1485/2281-2652-202219-7
Bennato, D. (2021). The Digital Traces’ Diamond. A Proposal to Put Together a Quantitative Approach, Interpretive Methods, and Computational Tools. Italian Sociological Review, 11(4S), 207–224. http://dx.doi.org/10.13136/isr.v11i4S.432
Bennett, M.R., & Reynolds, S.C. (2021). Inferences from Footprints: Archaeological Best Practice. In A. Pastoors, T. Lenssen-Erz (Eds.), Reading Prehistoric Human Tracks (pp. 15–39). Cham: Springer. https://doi.org/10.1007/978-3-030-60406-6_2
Bonini, T., & Trerè, E. (2024). Algorithms of Resistance. Cambridge, MA: MIT Press. https://doi.org/10.7551/mitpress/14329.001.0001
Brekhus, W.H. (1998). A Sociology of the Unmarked: Redirecting Our Focus. Sociological Theory, 16(1), 34–51. https://doi.org/10.1111/0735-2751.00041
Bruner, J. (1991). The Narrative Construction of Reality. Critical Inquiry, 18(1), 1–21. https://doi.org/10.1086/448619
Cardano, M. (2011). La ricerca qualitativa. Bologna: Il Mulino.
Cavagnuolo, M., Capozza, V., & Matrella, A. (2022). The Walkthrough Method: State of the Art, Innovative Aspects, and Application Fields. In G. Punziano, A. Delli Paoli (Eds.), Handbook of Research on Advanced Research Methodologies for a Digital Society (pp. 461–486). Hershey, PA: IGI Global. https://doi.org/10.4018/978-1-7998-8473-6.ch028
Comunello, F., Martire, F., & Sabetta, L. (Eds.). (2022). What People Leave Behind. Marks, Traces, Footprints and Their Relevance to Knowledge Society. Cham: Springer. https://doi.org/10.1007/978-3-031-11756-5
Comunello, F., Martire, F., & Sabetta, L. (2024). Brushing Society Against the Grain: Digital Footprints, Scraps, Non-Human Acts, Crumbs, and Other Traces. American Behavioral Scientist, 68(5), 623–639. https://doi.org/10.1177/00027642221144844
Eslami, M., Karahalios, K., Sandvig, C., Vaccaro, K., Rickman, A., Hamilton, K., & Kirlik, A. (2016). First I “Like” It, Then I Hide It: Folk Theories of Social Feeds. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (pp. 2371–2382). New York: Association for Computing Machinery. https://doi.org/10.1145/2858036.2858494
Felaco, C. (2022). Lungo la scala di generalità: le dimensioni della consapevolezza algoritmica. Sociologia Italiana, 19–20, 123–134. https://doi.org/10.1485/2281-2652-202219-8
Felaco, C. (2024). Researching Algorithm Awareness: Methodological Approaches to Investigate How People Perceive, Know, and Interact with Algorithms. Mathematical Population Studies, 31(4), 267–288. https://doi.org/10.1080/08898480.2024.2389779
Galilei, G. (1896). Il Saggiatore. In A. Favaro & I. Del Lungo (Eds.), Le opere di Galileo Galilei: Edizione nazionale (Vol. 6). Firenze: Barbèra. (Original work published 1623)
Gibbs, R.W. (1999). Intentions in the Experience of Meaning. Cambridge, UK: Cambridge University Press. https://doi.org/10.1017/CBO9781139164054
Ginzburg, C. (2023). Miti, emblemi, spie: Morfologia e storia. Milano: Adelphi. (Original work published 1896).
Gobo, G. (2003). Le risposte e il loro contesto. Processi cognitivi e comunicativi nelle interviste standardizzate. Milano: FrancoAngeli.
Goffman, E. (1959). The Presentation of Self in Everyday Life. New York, NY: Doubleday.
Grenz, T., & Robinson, K. (2022). Traces of Social Binding: Interpretive Tracing as a Bridging Concept. In F. Comunello, F. Martire, & L. Sabetta (Eds.), What People Leave Behind. Marks, Traces, Footprints and Their Relevance to Knowledge Society (pp. 59–73). Cham: Springer. https://doi.org/10.1007/978-3-031-11756-5_4
Heiskala, R. (2021). Semiotic Sociology. Cham: Palgrave Macmillan. https://doi.org/10.1007/978-3-030-79367-8
Kuhn, T.S. (1962). The Structure of Scientific Revolutions. Chicago, IL: University of Chicago Press.
Lazarsfeld, P.F. (1955). Introduction. In P.F. Lazarsfeld, & M. Rosenberg (Eds.), The Language of Social Research: A Reader in the Methodology of Social Research (pp. 15–18). Glencoe, IL: The Free Press.
Lazarsfeld, P.F. (1958). Evidence and Inference in Social Research. Daedalus, 87(4), 99–109.
Light, B., Burgess, J., & Duguay, S. (2018). The Walkthrough Method: An Approach to the Study of Apps. New Media & Society, 20(3), 881–900. https://doi.org/10.1177/1461444816675438
Lucas, G. (2012). Understanding the Archaeological Record. New York, NY: Cambridge University Press. https://doi.org/10.1017/CBO9780511845772
Masterman, M. (1970). The Nature of a Paradigm. In I. Lakatos & A. Musgrave (Eds.), Criticism and the Growth of Knowledge (pp. 59–90). Cambridge, UK: Cambridge University Press.
Marres, N. (2017). Digital Sociology: The Reinvention of Social Research. Cambridge, UK: Polity Press.
Mele, V. (2015). “At the Crossroad of Magic and Positivism”. Roots of an Evidential Paradigm through Benjamin and Adorno. Journal of Classical Sociology, 15(2), 139–153. https://doi.org/10.1177/1468795X14567284
Minto, P. (2025). Addio saggio breve, arriva l’intelligenza artificiale. Il Foglio, August 6 https://www.ilfoglio.it/tecnologia/2025/08/06/news/l-addio-al-saggio-breve-con-l-intelligenza-artificiale-7985190.
Montesperelli, P. (1998). L’intervista ermeneutica. Milano: FrancoAngeli.
Peltonen, M. (2001). Clues, Margins, and Monads: The Micro–Macro Link in Historical Research. History and Theory, 40(3), 347–359. https://doi.org/10.1111/0018-2656.00172
Pitrone, M.C. (2009). Sondaggi e interviste. Lo studio dell’opinione pubblica nella ricerca sociale. Milano: FrancoAngeli.
Pronzato, R. (2024). Algoritmi, strutture e agire sociale. Un’analisi sociologica. Milano: FrancoAngeli.
Ramírez Cortés, J.A. (2020). El nacimiento del paradigma indiciario entre las ciencias y sus impases: Freud y el ejercicio investigativo basado en la lectura de indicios. Tópicos. Revista de Filosofía de Santa Fe, 40, 132–153. https://doi.org/10.14409/topicos.v0i40.10021
Rathje, W., & Murphy, C. (1992). Rubbish!: The Archaeology of Garbage. What Our Garbage Tells Us About Ourselves. New York, NY: HarperCollins.
Rieder, B. (2020). Engines of Order: A Mechanology of Algorithmic Techniques. Amsterdam: Amsterdam University Press. https://doi.org/10.5117/9789462986190
Sabetta, L. (2020). Ethnography (and Social Research) between Words and Deeds. Etnografia e Ricerca Qualitativa, 13(3), 483–495. https://doi.org/10.3240/99556
Seilacher, A. (2007). Trace Fossil Analysis. Heidelberg: Springer. https://doi.org/10.1007/978-3-540-47226-1
Swedberg, R. (2014). The Art of Social Theory. Princeton, NJ: Princeton University Press.
Webb, E.J., Campbell, D.T., Schwartz, R.D., & Sechrest, L. (1966). Unobtrusive Measures: Nonreactive Research in the Social Sciences. Chicago, IL: Rand McNally.
Xie, X., Du, Y., & Bai, Q. (2022). Why Do People Resist Algorithms? From the Perspective of Short Video Usage Motivations. Frontiers in Psychology, 13, 1–12. https://doi.org/10.3389/fpsyg.2022.941640
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Fabrizio Martire

This work is licensed under a Creative Commons Attribution 4.0 International License.