Social and Behavioral Sciences Commons^™

Exploring The Digital Humanities Research Agenda: A Text Mining Approach, Soohyung Joo, Jennifer Hootman, Marie Katsurai

Information Science Faculty Publications

Purpose

This study aims to explore knowledge structure and research trends in the domain of digital humanities (DH) in the recent decade. The study identified prevailing topics and then, analyzed trends of such topics over time in the DH field.

Design/methodology/approach

Research bibliographic data in the area of DH were collected from scholarly databases. Multiple text mining techniques were used to identify prevailing research topics and trends, such as keyword co-occurrences, bigram analysis, structural topic models and bi-term topic models.

Findings

Term-level analysis revealed that cultural heritage, geographic information, semantic web, linked data and digital media were among the most …

What Documents Cannot Do: Revisiting Michael Polanyi And The Tacit Knowledge Dilemma, C. Sean Burns

Information Science Faculty Publications

Our culture is dominated by digital documents in ways that are easy to overlook. These documents have changed our worldviews about science and have raised our expectations of them as tools for knowledge justification. This article explores the complexities surrounding the digital document by revisiting Michael Polanyi’s theory of tacit knowledge—the idea that “we can know more than we can tell.” The theory presents to us a dilemma: if we can know more than we can tell, then this means that the communication of science via the document as a primary form of telling will always be incomplete. This dilemma …