Journal: Digital Studies in Language and Literature
Call Deadline: 31-Dec-2025

Call for Papers:

DSLL welcomes all submissions in line with the aims and scope below. Accepted articles will be published via fully sponsored Open Access through a Creative Commons Attribution (CC-BY-4.0) License, so your research will be freely available for all to read and download.

Aims and Scope
DSLL provides a platform for scholars, researchers, educators, and practitioners to explore and share their insights, discoveries, and innovations in language and literature involving digital technology. DSLL welcomes empirical studies, review articles (including meta-analysis and narrative synthesis), case studies, theoretical articles, and studies on research methods. The scope encompasses studies conducted using quantitative, qualitative, or mixed methods; studies that are either text- or learning-based; studies investigating the creation, application, or influence of technological tools and instruments; and studies that observe the occurrence of an event or feature or examine the relationships between phenomena. We encourage interdisciplinary research that bridges the gap between digital technology, language, and literature, as well as insightful discussions on the challenges and opportunities posed by the digital era in the realms of linguistic and literary studies. The journal especially welcomes research that uses innovative methods, generates transformative evidence, informs practice and policy making, and adopts unique perspectives. In addition to welcoming research on topics and texts that have long received academic attention, the journal is also interested in expanding the conversation to include populations, regions, settings, and subjects that have been ignored or less represented in mainstream academic work.

Topics
Digital Studies in Language and Literature invites submissions covering a wide range of topics, and below are some example topics and research strands that fall into the scope of this journal:
• Artificial intelligence (AI) in language and literature
• Big data, data mining, and visualisation
• Computational linguistics
• Computer-assisted language learning and teaching
• Corpus linguistics
• Distant reading from any or all of the six continents that collectively produce world literature
• Instructional technology in language education
• Literary and linguistic computing
• Mobile-assisted language learning (MALL)
• Multimodality
• Natural language processing
• Social media in language education
• Technology-driven research in translation
• Topic modelling

Useful Links
DSLL Homepage: https://www.degruyter.com/dsll
DSLL Online Submission Site – https://mc.manuscriptcentral.com/dsll

Linguistic Field(s): Applied Linguistics
Computational Linguistics
Discipline of Linguistics
General Linguistics
Translation

Subject Language(s): English (eng)

Language Family(ies): English based