This project examines the complex cultural landscape of Korean translations of Charlotte Brontë’s Jane Eyre. This research is founded on our particular interest in the unique Korean literary tradition of “Collected/Complete Works of World Literature”(세계문학전집) and its sociopolitical implications. We have collected and processed 15 different translations of Jane Eyre published over 60 years, and through both computational stylometric analysis and close reading, we demonstrate subtle yet significant differences across translations. The project combines a historical examination of these uniquely situated cultural productions with quantitative linguistic analysis. By developing new methodologies for understanding translation practices, this research adds to the traditional modes of translation studies that primarily focus on linguistic accuracy or distance from the source text. Our approach builds on the theoretical perspective of translation as a dynamic process of proliferation rather than mere reproduction. Through our interdisciplinary analysis, we also raise important questions about the limitations of current Natural Language Processing tools in analyzing literary texts. This study ultimately aims to present implications for future computational approaches to literary/translation studies and illustrate how the historical practices of literary retranslation have shaped and have been shaped by the peculiar contexts of modern Korea.
This study aims to scrutinize the quantified features of narrative and creativity and employ them to compare the works of great writers with AI-generated ones using various quantitative techniques from computational narratology and creativity assessment in order to address the lack of studies on AI-generated narratives. Our work consists of three stages. First, we create the Massive AI-Generated Narrative Corpus (MANC), which collects the creations of LLM-based simulated authors who are categorized as eighteenth and nineteenth century British literature authors. To quantitatively evaluate this corpus, second, we design a framework that synthesizes existing computational methodologies, which integrates various previous narratology and creativity assessment studies. Third, the works in the corpus are compared, analyzed, and evaluated alongside those of the original authors leveraging the framework, and then we publish an evaluation report on our website. Our challenging work provides the first-ever quantitative assessment of AI-generated narratives, contributing to the potential for human-AI writing collaboration and the advancement of a new narratology in the AI era.
The project addresses nine closed-circle mysteries by Agatha Christie: The Mysterious Affair at Styles, Murder on the Orient Express, Death on the Nile, Death in the Clouds, Problem at Sea, Murder in Mesopotamia, Appointment with Death, And Then There Were None, and Evil Under the Sun. The mysteries address murder among a limited number of suspects in a closed environment, having reasonable means, motives, and opportunities for crime. Their readers experience a plot twist when the detective reveals the truth of the murder, although its clues already exist in the text. The cause is the distorted perception of space in the mysteries by the readers. While reading, they perceive space as a place, starting with the freedom to investigate and ending with the completeness to close the case. During the process, they also feel spatiality based on the temporal interaction among characters, locations, and objects. The change and interaction will be mainly analyzed and visualized as networks on the maps of each mystery from the perspective of readers. The research aims to suggest network visualization as a tool for presenting the relation among spatial, social, and temporal contexts in English detective fiction and implies the possibility of development to narrative criminology.
This project focuses on the transgender fanfiction that emerged within the Harry Potter fandom as a response to J.K. Rowling's transphobic statements posted in 2019. Through text analysis of Harry Potter fanfiction from 2016 to 2023 retrieved from Archives of Our Own, this research discusses the interplay between fanfiction, author, and society, highlighting its distinctive characteristics. Implementing methodologies such as cosine similarity, word embedding, and dimensionality reduction to examine the narrative and shifts in word usage, it argues that fanfiction cannot be seen as mere resistance or reinterpretation but should be recognized as a process of creating a multi-layered, collective narrative that interacts internally while simultaneously engaging with broader societal discourses. Minor genres of fanfiction grow in a way that borrows the schema of the major genres to create their own narratives, and major genres also incorporate features that address social minorities. This study ultimately addresses the question of what fanfiction is and how it should be studied, arguing that its collective feature makes it difficult to capture its landscape with a selected list of works.
This project examines how artificial beings are represented as characters in contemporary Korean science fiction, exploring social perceptions, understanding, and expectations about artificial intelligence (AI) in modern society. The study focuses on the significant transformation of Korean SF literature since the late 2010s, viewing its rising popularity as a cultural and technological phenomenon. This project investigates how contemporary SF literature interprets and portrays AI as social agents amid rapid technological advancement by analyzing the behavioral patterns and literary representations of artificial beings. The methodology combines traditional literary analysis with computational approaches, comparing interpretations between human experts/readers and large language models (LLMs). Specifically, the project develops an eight-label classification system for analyzing character behaviors, enabling systematic observation of behavioral patterns and interactions of artificial beings. This methodological approach reveals how artificial beings express and resolve their existential concerns and ethical dilemmas through their physical embodiment (machine-body). Building on these observations, the project explores the narrative significance and symbolism of artificial being representation in Korean SF, contributing to our understanding of how literary narratives both shape and reflect societal attitudes toward artificial intelligence.