publications

2025

1. 

   “The effect of a thing”: Nature and the Environment in Percy Bysshe Shelley and Algernon Charles Swinburne

   Gyuri Kang, and John A. Walsh

   In Proceedings of the Digital Humanities Congress 2024, Aug 2025

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2. 

   An analysis of poet demographic and thematic diversity in a poetry collection for inclusive AI

   Kahyun Choi, and Gyuri Kang

   Information Research an international electronic journal, Mar 2025

   Abs DOI

   Introduction. AI technologies, such as theme classification and named entity recognition, enhance digital library accessibility. However, they may introduce biases if training datasets lack adequate representation. For instance, prior AI models for poetry classification overlooked dataset diversity, raising concerns about representation. To address this issue, this study assesses the dataset representation and examines potential issues in AI model design for poetry collections. Method. We annotated and published the race and ethnicity of poets in an American poetry collection curated by poets.org, which was recently used to train a poetry theme classification system. We then examined the diversity of the collection using these annotations. Analysis. We compared the racial/ethnic composition of the collection to U.S. Census data and conducted group-exclusive top word analysis, popular theme analysis, and entropy-based analysis of theme distribution diversity to evaluate linguistic and thematic diversity. Results. Our findings indicate that most underrepresented groups are well-represented in the collection, except for Latino/a/x American poets. Furthermore, we found that poems from underrepresented groups increase the collection’s linguistic and thematic diversity. Conclusions. To design responsible AI that embraces diversity, it is essential to assess dataset representation and support non-standard English and diverse themes beyond those popular with the general population.

2024

1. 

   Technology education in academic libraries: An analysis of library workshops

   Gyuri Kang, and Donghee Sinn

   The Journal of Academic Librarianship, Mar 2024

   Abs DOI

   Learning new technology is essential for students and scholars in higher education to engage in learning and research of today. Previous studies have reported various barriers to technology acceptance and application in academic communities. To foster active engagement in technology-enhanced research and learning, academic libraries could serve as a technology hub for their communities. Many researchers have already explored the role of academic libraries in promoting information literacy as well as digital and data literacy. However, technology education in library instruction, which helps students and scholars develop such literacies, has not been a major topic in the existing literature. Even when studies deal with technology related content, their topics of instruction concentrate largely on data science skills and tools. The existing literature does not capture a comprehensive landscape of what instructional support the academic libraries provide in terms of technology skills and tools, including but not limited to data science techniques. The goal of this study is to present an overview of academic library instruction for technology education for their communities. This study examines library workshops offered by 43 four-year college libraries in the US. The titles and descriptions of the workshops were manually collected and analyzed to understand the content of library instruction using both quantitative and qualitative analysis methods. The findings of this study suggest that American academic libraries play an important role in educating their patrons a wide range of technology for their academic success in technology-mediated learning and research environments. They teach various technologies for research, teaching and learning, career support, conventional library instruction, and many other purposes. We found that academic libraries teach not only popular and common tools, but also specialized and unique tools for certain fields.