Research output, intellectual structures and contributors of digital humanities research: a longitudinal analysis 2005–2020

Su, Fangli; Zhang, Yin

doi:10.1108/jd-11-2020-0199

Cited by 12 publications

(6 citation statements)

References 39 publications

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“…Different attempts to harness Wikipedia for historical ends were reported in recent years as computational methods permeate the non-exact and -natural sciences, including history and philosophy 40 , through what is termed digital humanities 41 . For example, an algorithmic approach was deployed to mine the text of tens of thousands of Wikipedia articles to try to map the history of knowledge since the dawn of human history, using network science and semantic analysis to "put the ideas of Kuhn to the test".…”

Section: Using Wikipedia For the History Of Sciencementioning

confidence: 99%

Wikipedia as a tool for contemporary history of science: A case study on CRISPR

Benjakob

Guley

Sevin

et al. 2022

Preprint

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Rapid developments and methodological divides hinder the study of how scientific knowledge accumulates, consolidates and transfers to the public sphere. Our work proposes using Wikipedia, the online encyclopedia, as a historiographical source regarding contemporary science. We chose the high-profile field of gene editing as our test case, performing a historical analysis of the English-language Wikipedia articles on CRISPR. Using a mixed method approach, we qualitatively and quantitatively analyzed its text, sections and references, alongside 50 affiliated articles. These, we found, documented CRISPR's maturation from a fundamental scientific discovery to a biotechnological revolution with vast social and cultural implications. We developed automated tools to support such research generically and demonstrated its applicability on two other scientific fields we have previously studied - COVID-19 and Circadian clocks. This method makes use of Wikipedia as a digital and free archive, documenting the incremental growth of knowledge and the manner scientific research accumulates and translates into public discourse. Using Wikipedia in this manner compliments and overcomes some issues with contemporary histories and can also augment existing bibliometric research.

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Section: Using Wikipedia For the History Of Sciencementioning

confidence: 99%

Wikipedia as a tool for contemporary history of science: A case study on CRISPR

Benjakob

Guley

Sevin

et al. 2022

Preprint

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“…Su et al . study aims to update and extend previous efforts gauging the status of the quickly evolving field of DH during 2005–2020 providing a longitudinal examination of the research output, intellectual structures and contributors (Su and Zhang, 2022).…”

Section: Related Researchmentioning

confidence: 99%

The digital transformation processes for supporting digital humanities researchers in text analysis

De Luca,

Fallucchi,

Ghattas

et al. 2023

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PurposeThis article aims to explore how the mapping strategies between user requirements expressed by the humanities researchers lead to a better customization of user-driven digital humanities tools and to the creation of innovative functionalities, which can directly affect the way of doing research in a digital context.Design/methodology/approachIt describes the user-driven development of a tool that helps researchers in the quantitative and qualitative analysis of large textbook collections.FindingsThis article presents an exemplary user journey map, which shows the different steps of the digital transformation process and how the humanities researchers are involved for (1) producing innovative research solutions, comprehensive and personalized reports, and (2) customizing access to content data used for the analysis of digital documents. The article is based on a case study on a German textbooks collection and content analysis functionalities.Originality/valueThe focus of this article is the reiterative research process, in which humanists (from the human centred point of view) starts from an initial research question, using quantitative and qualitative data and develops both the research question and the answers to it by with the aim to find patterns in the content and structure of educational media. Thus, from the viewpoint of digital transformation the humanist is part of the interaction between digitization and digitalization processes, where he/she uses digital data, metadata, reports and findings created and supported by the digital tools for research analysis.

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“…Literature analysis also enables scholars to map and assess the existing knowledge in a specific field (Rowley and Keegan, 2019). Many methods have been developed for literature analysis, such as bibliometric analysis (Su and Zhang, 2021), network analysis (Hall et al, 2018) and data mining, particularly the text mining technique (Lee et al, 2010).…”

Section: Literature Review 21 Literature Analysismentioning

confidence: 99%

A comparison study of topic modeling based literature analysis by using full texts and abstracts of scientific articles: a case of COVID-19 research

Cao

Cheng

Liao

2022

LHT

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PurposeHow to extract useful information from a very large volume of literature is a great challenge for librarians. Topic modeling technique, which is a machine learning algorithm to uncover latent thematic structures from large collections of documents, is a widespread approach in literature analysis, especially with the rapid growth of academic literature. In this paper, a comparison of topic modeling based literature analysis has been done using full texts and abstracts of articles.Design/methodology/approachThe authors conduct a comparison study of topic modeling on full-text paper and corresponding abstract to assess the influence of the different types of documents been used as input for topic modeling. In particular, the authors use the large volumes of COVID-19 research literature as a case study for topic modeling based literature analysis. The authors illustrate the research topics, research trends and topic similarity of COVID-19 research by using Latent Dirichlet allocation (LDA) and topic visualization method.FindingsThe authors found 14 research topics for COVID-19 research. The authors also found that the topic similarity between using full-text paper and corresponding abstract is higher when more documents are analyzed.Originality/valueFirst, this study contributes to the literature analysis approach. The comparison study can help us understand the influence of the different types of documents on the results of topic modeling analysis. Second, the authors present an overview of COVID-19 research by summarizing 14 research topics for it. This automated literature analysis can help specialists in the health and medical domain or other people to quickly grasp the structured morphology of the current studies for COVID-19.

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Research output, intellectual structures and contributors of digital humanities research: a longitudinal analysis 2005–2020

Cited by 12 publications

References 39 publications

Wikipedia as a tool for contemporary history of science: A case study on CRISPR

Wikipedia as a tool for contemporary history of science: A case study on CRISPR

The digital transformation processes for supporting digital humanities researchers in text analysis

A comparison study of topic modeling based literature analysis by using full texts and abstracts of scientific articles: a case of COVID-19 research

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