Exploring the possibilities of Thomson’s fourth paradigm transformation—The case for a multimodal approach to digital oral history?

Abstract

This article seeks to reorientate ‘digital oral history’ towards a new research paradigm, Multimodal Digital Oral History (MDOH), and in so doing it seeks to build upon Alistair Thomson’s (Thomson, A., 2007, Four paradigm transformations in oral history. Oral History Review, 34(1): 49–70.) characterization of a ‘dizzying digital revolution’ and paradigmatic transformation in oral history (OH). Calling for a recalibration of the current dominance of the textual transcript, and for active engagement with the oral, aural, and sonic affordances of both retro-digitized and born digital OH (DOH) collections, we call for a re-orientation of the digital from passive to generative and self-reflexive in the human–machine study of spoken word recordings. First, we take stock of the field of DOH as it is currently conceived and the ways in which it has or has not answered calls for a return to the orality of the interview by digital means. Secondly, we address the predominant trend of working with transcriptions in digital analysis of spoken word recordings and the tools being used by oral historians. Thirdly, we ask about the emerging possibilities—tools and experimental methodologies—for sonic analysis of spoken word collections within and beyond OH, looking to intersections with digital humanities, sociolinguistics, and sound studies. Lastly, we consider ethical questions and practicalities concomitant with data-driven methods, analyses and technologies like AI for the study of sonic research artefacts, reflections that dovetail with digital hermeneutics and digital tool criticism and point towards a new MDOH departure, a sub-field that has potential to inform the many fields that seek patterns in audio, audio-visual, and post-textual materials, serially and at scale.

Case study on a scientific oral history project using information practice analysis

“…Oral history programs, meanwhile, may provide user access through subject guides that become outdated (Bruemmer, 1991). Even as scholarly trends explore oral histories and sonic research, digital stewardship poses challenges to a work's longterm access in the online environment (Boyd, 2012;Smyth et al, 2023).…”

Demystifying oral history with natural language processing and data analytics: a case study of the Densho digital collection

“…In the oral history field, various computational methods and techniques, including automatic speech recognition, natural language processing (NLP) and artificial intelligence (AI) have been experimented with for the analysis of oral history (Meadows and Sternfeld, 2023;Pessanha and Salah, 2021). Nevertheless, its application is still in the early stages and limited, and there is a consensus that further work needs to be done to offer new solutions for information retrieval, knowledge extraction, classification and summarization (Pessanha and Salah, 2021;Smyth et al, 2023). Furthermore, it is crucial to conduct case studies that develop open source tools using real-world oral history collections and use different computational technologies.…”