Do We Need a Voice Methodology? Proposing a Voice-Centered Methodology: A Conceptual Framework in the Age of Surveillance Capitalism
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| Pubblicato in: | Societies vol. 15, no. 9 (2025), p. 241-267 |
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| Autore principale: | |
| Pubblicazione: |
MDPI AG
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| Soggetti: | |
| Accesso online: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 024 | 7 | |a 10.3390/soc15090241 |2 doi | |
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| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231632 |2 nlm | ||
| 100 | 1 | |a Caroleo, Laura | |
| 245 | 1 | |a Do We Need a Voice Methodology? Proposing a Voice-Centered Methodology: A Conceptual Framework in the Age of Surveillance Capitalism | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a This paper explores the rise in voice-based social media as a pivotal transformation in digital communication, situated within the broader era of chatbots and voice AI. Platforms such as Clubhouse, X Spaces, Discord and similar ones foreground vocal interaction, reshaping norms of participation, identity construction, and platform governance. This shift from text-centered communication to hybrid digital orality presents new sociological and methodological challenges, calling for the development of voice-centered analytical approaches. In response, the paper introduces a multidimensional methodological framework for analyzing voice-based social media platforms in the context of surveillance capitalism and AI-driven conversational technologies. We propose a high-level reference architecture machine learning for social science pipeline that integrates digital methods techniques, automatic speech recognition (ASR) models, and natural language processing (NLP) models within a reflexive and ethically grounded framework. To illustrate its potential, we outline possible stages of a PoC (proof of concept) audio analysis machine learning pipeline, demonstrated through a conceptual use case involving the collection, ingestion, and analysis of X Spaces. While not a comprehensive empirical study, this pipeline proposal highlights technical and ethical challenges in voice analysis. By situating the voice as a central axis of online sociality and examining it in relation to AI-driven conversational technologies, within an era of post-orality, the study contributes to ongoing debates on surveillance capitalism, platform affordances, and the evolving dynamics of digital interaction. In this rapidly evolving landscape, we urgently need a robust vocal methodology to ensure that voice is not just processed but understood. | |
| 653 | |a Ethics | ||
| 653 | |a Surveillance | ||
| 653 | |a Communication | ||
| 653 | |a Conversation | ||
| 653 | |a Machine learning | ||
| 653 | |a Methodological problems | ||
| 653 | |a User generated content | ||
| 653 | |a Models | ||
| 653 | |a Ethical standards | ||
| 653 | |a Capitalism | ||
| 653 | |a Neoliberalism | ||
| 653 | |a Social sciences | ||
| 653 | |a Sociology | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Speech recognition | ||
| 653 | |a Ingestion | ||
| 653 | |a Social media | ||
| 653 | |a Mass media effects | ||
| 653 | |a Social discrimination learning | ||
| 653 | |a Algorithms | ||
| 653 | |a Subjectivity | ||
| 653 | |a Personal information | ||
| 653 | |a User behavior | ||
| 653 | |a Social networks | ||
| 653 | |a Governance | ||
| 653 | |a Learning algorithms | ||
| 653 | |a Methodology | ||
| 653 | |a Voice recognition | ||
| 653 | |a Natural language processing | ||
| 653 | |a Computer platforms | ||
| 653 | |a Data collection | ||
| 653 | |a Automatic speech recognition | ||
| 653 | |a Concept learning | ||
| 653 | |a Digital technology | ||
| 653 | |a Digital media | ||
| 653 | |a Ethical dilemmas | ||
| 653 | |a Research methodology | ||
| 653 | |a Frame analysis | ||
| 653 | |a Mass media | ||
| 653 | |a Transformation | ||
| 653 | |a Voice analysis | ||
| 773 | 0 | |t Societies |g vol. 15, no. 9 (2025), p. 241-267 | |
| 786 | 0 | |d ProQuest |t Social Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3254643605/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3254643605/fulltextwithgraphics/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3254643605/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |