Emerging Trends in Digital Humanities


The convergence of literature, technology, and data has given rise to the dynamic field of Digital Humanities, reshaping the methodologies of literary analysis and research. Today, comparative literature is no longer confined to textual interpretation alone but extends to digital mapping, textual mining, visualization tools, and computational analysis. These emerging trends enable scholars to uncover patterns and networks across vast corpora, enhancing comparative approaches to global literary traditions.


Digital Humanities democratizes access to literary resources, making world literature archives available to scholars across geographies. It also facilitates interdisciplinary dialogue—merging literary studies with linguistics, data science, and cultural analytics. Researchers are now exploring how AI, machine learning, and big data can reframe literary questions, redefine textuality, and challenge traditional canons.


This section of the edited volume invites chapters that examine how digital tools transform comparative methodologies. How do digital archives, hypertext narratives, or algorithmic criticism alter our understanding of literature and culture? How does digital authorship challenge the notion of originality or influence? Contributions may focus on theoretical perspectives, methodological innovations, or case studies where Digital Humanities advances comparative literary inquiry.


By engaging with these new possibilities, scholars can collectively chart the digital future of literary studies and expand the horizons of world literature.

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