Epistemology, Methodology and Ontology of a Post-Digital Social Inquiry

A topical collection in Societies (ISSN 2075-4698).

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Editors


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Collection Editor
Department of Social Sciences, University of Naples Federico II, 80138 Napoli, Italy
Interests: social research methodology; digital social research; innovative approaches in social research methods; communication analysis
Special Issues, Collections and Topics in MDPI journals

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Collection Editor
Department of Political Science and Communication, University of Salerno, 84084 Fisciano, Italy
Interests: social research methodology; digital social research; innovative approaches in social research methods; digital inequalities; digital addictions
Special Issues, Collections and Topics in MDPI journals

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Collection Editor
Department of Human, Philosophical and Educational Sciences/DISUFF, University of Salerno, 84084 Fisciano, Italy
Interests: social research methods; digital social research; netnography; digital research ethics; digital inequalities; migration; non-normative identities

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Collection Editor
Department of Human, Philosophical and Educational Sciences/DISUFF, University of Salerno, 84084 Fisciano, Italy
Interests: non-normative identities; gender; sexuality; socialization; health; migration

Topical Collection Information

Dear Colleagues,

The post-digital condition—characterized by the convergence of pervasive digital infrastructures, generative artificial intelligence, and the emergence of quantum-based models of computation—demands a radical rethinking of how social knowledge is produced, validated, and interpreted. This Topic Collection aims to explore the epistemic, methodological, and ontological implications of this transformation, bringing together interdisciplinary contributions that interrogate the foundations and futures of social inquiry in an increasingly hybrid human–machine ecosystem.

The focus of the Topic Collection is to critically examine how new computational paradigms reshape the assumptions, tools, practices, and interpretive processes through which social scientists understand the world. While digital sociology, computational social science, and science and technology studies have addressed aspects of this transition, significant gaps remain regarding the integration of generative AI models, probabilistic/quantum logics, and emerging hybrid methodologies within coherent frameworks of social research.

The scope includes theoretical, methodological, empirical, and ethical reflections on knowledge production under conditions of automation, algorithmic mediation, and post-human inference. We particularly welcome contributions that illuminate how data imaginaries, interface-based interactions, and simulation logics influence the formation of evidence, the construction of social facts, and the researcher’s positionality.

The purpose of the Topic Collection is to foster a cross-disciplinary dialogue capable of advancing a new agenda for post-digital social research—one that can critically address the transformations in inference, representation, and explanation introduced by intelligent and probabilistic machines. Contributions may address foundational questions, propose innovative methodological frameworks, or present empirical cases illustrating how AI-augmented and quantum-informed models reshape the practices of social investigation.

This Topic Collection supplements the existing literature by bridging domains that are often examined separately: digital epistemology, algorithmic governance, qualitative–computational hybrid methods, human–AI interaction, and the ontological implications of quantum modelling. By connecting these strands, the collection intends to provide a comprehensive and integrative platform that advances the debate on how social sciences can remain empirically rigorous, theoretically grounded, and ethically responsive in a world where inference itself is increasingly automated, distributed, and probabilistic.

Submissions may take the form of research articles, conceptual papers, or reviews, in accordance with the categories accepted by Societies.

We look forward to receiving your contributions.

Dr. Gabriella Punziano
Prof. Dr. Felice Addeo
Dr. Angela Delli Paoli
Dr. Giuseppe Masullo
Collection Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the collection website. Research articles, review articles as well as conceptual papers are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Societies is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • post-digital society
  • generative artificial intelligence
  • quantum social inquiry
  • epistemology of AI
  • hybrid methodologies
  • algorithmic mediation
  • data imaginaries
  • digital and computational sociology
  • ontology of social research
  • knowledge production

Published Papers (1 paper)

2026

12 pages, 246 KB  
Concept Paper
From Research Tool to Epistemic Actor: Artificial Intelligence as Co-Producer of Social Knowledge
by Danilo Boriati
Societies 2026, 16(6), 192; https://doi.org/10.3390/soc16060192 - 18 Jun 2026
Viewed by 462
Abstract
This contribution examines the role of artificial intelligence technologies in the co-construction of social reality, with specific attention to AI-generated data as emergent agents of knowledge production. Building on perspectives from science and technology studies and recent debates on algomorphic sociology, the contribution [...] Read more.
This contribution examines the role of artificial intelligence technologies in the co-construction of social reality, with specific attention to AI-generated data as emergent agents of knowledge production. Building on perspectives from science and technology studies and recent debates on algomorphic sociology, the contribution conceptualizes generative AI systems not as research instruments, but as active participants in epistemic processes. The analysis argues that AI-generated data exhibit a performative character: they do not simply represent social phenomena but actively contribute to their stabilization, classification, and circulation. This performativity fosters a shift from researcher-centered interpretation toward hybrid configurations in which meaning emerges through human–machine assemblages. Through a theoretical synthesis of recent methodological and epistemological reflections, the contribution highlights a transition from anthropocentric models of knowledge production to post-anthropocentric, relational frameworks in which agency, cognition, and sense-making are distributed across sociotechnical networks. The contribution concludes by outlining the implications of this shift for the future of digital social research and also for reflexivity, methodological design, and the ethics of social research, advocating a critical and adaptive stance toward AI as a co-producer of knowledge rather than a subordinate analytical tool. Full article
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