Lingua Technica: Journal of Digital Literary Studies
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description: Lingua Technica: Journal of Digital Literary Studies is a peer-reviewed international journal published by Asosiasi Relawan dan Pengelola Jurnal LPTNU (ARJUNU). This journal is dedicated to exploring the intersection of language, literature, and technology within the realm of digital platforms. The journal covers a wide range of fields, including digital literature, e-poetry, and the relationship between language, literature, and technology in diverse contexts. It investigates the interaction between technology and language in literary works and the innovations in the form and style of literature brought about by digital platforms. Accreditation Number : No. Editor-in-chief : Achmad Fawaid 57214837323 E-ISSN : 3109-3264 DOI : Prefix 10.64595/lingtech by Publisher : Asosiasi Relawan dan Pengelola Jurnal LPTNU Frequency : 2 issues per year (January & July) Focus & Scope : E-literature, tech. & new media in language, etc. Citation & Indexing : Sinta, Copernicus, Garuda, Google Scholar, Dimensions, Indonesia OneSearch Author Guidelines Submit Paper Now!
publisher: Asosiasi Relawan dan Pengelola Jurnal LPTNU (ARJUNU)
language: en
publication name: Lingua Technica: Journal of Digital Literary Studies
issn: 3109-3264
items: Algorithmic muse reconsidered: creativity, constraint, and the politics of machine co-authorship
items: Reading synthetic fiction: narrative coherence, aesthetic judgment, and reader trust in AI-generated literature
items: Authorship after automation: originality, attribution, and creative responsibility in AI-assisted literary production
items: The style that was learned: large language models, imitation, and the ethics of literary influence
items: Prompting as poetic practice: human–AI collaboration and the making of algorithmic literary voice
items: When the machine writes back: generative AI, literary agency, and the reconfiguration of digital authorship
items: Teaching digital literature in secondary school: multimodal meaning-making and students’ interpretive engagement
items: Reader participation, platform affordances, and interactive meaning-making in online literary environments
items: Multimodal poetics in digital literature: a corpus-based analysis of visual-verbal design, screen-based textuality, and reader interaction
items: Language, code, and platform-mediated textuality in electronic literature
items: From hypertext to interactive narrative: structure, agency, and multimodal meaning-making of e-literature
items: Mapping the field of digital literary studies: concepts, methods, and emerging directions
items: Poetics of algorithmic excess: digital aesthetics in Indonesia’s Twitter poetry bot
items: Digital literary cartography and colonial space: re-mapping spatial imaginations in Robinson Crusoe and Max Havelaar
items: Text mining and semantic modeling of literary corpora: a machine learning–based study of Indonesian fiction
items: Digital reading platforms in literary learning: cultural understanding and engagement in Indonesian and Malay texts
items: From manuscript to metadata: preserving Indonesian literary heritage in the contemporary digital transition
items: Mapping thematic patterns in Indonesian novels through concept mining and computational linguistics
items: The role of interactive gamification through Wordwall Apps to improve students’ engagement and literary comprehension
items: Reimagining textuality: digital convergence and literary adaptation in Indonesia
items: Virtual reality as narrative medium: the emotional effects of full immersion in VR-based film Aladin
items: Transmedia storytelling in expanding audience’s engagement: a phenomenological study of Nussa Rara
items: Digital poetics in the classroom: the role of Taroko Gorge in increasing students’ engagement and critical thinking skills
items: Understanding reader navigation patterns in multi-path hypertext fiction: a case study approach to Patchwork Girl

Algorithmic muse reconsidered: creativity, constraint, and the politics of machine co-authorship
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description: Background: Generative artificial intelligence has transformed literary production across publishing, education, cultural industries, and digital platforms while intensifying disputes over creativity, attribution, ownership, accountability, and platform power. Objective: This study examines how creative agency, constraint regimes, and authorship governance are configured across contemporary machine co-authorship discourse and what these configurations reveal about institutional legitimacy. Method: Using qualitative comparative documentary analysis, this study coded forty publicly accessible records comprising thirteen primary documents, seventeen secondary sources, and ten contextual materials published or current between 2021 and 2026 through explicit decision rules and evidence notes. Results: Creative agency was most frequently represented as an integrated human–machine–platform chain combining initiation, prompting, generation, revision, and mediation. Institutional constraints dominated the corpus, while aesthetic, technical, legal, economic, and data-related conditions operated as enabling, limiting, or simultaneously ambivalent forces. Human accountability and platform power were substantially more prevalent than contractual output ownership, indicating that creative participation, legal authorship, and institutional control remain unevenly distributed. Implication: Legitimate machine co-authorship requires transparent contribution, proportionate attribution, human editorial responsibility, accountable training practices, and governance capable of protecting creative diversity. Novelty: This study contributes an integrated framework that connects distributed agency, creativity-under-constraint, and authorship politics within a single document-level analytical architecture.
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creator: Ahmad Dafa Asyaddad
rights: Copyright (c) 2026 Inero Valbuena Ancho, Ahmad Dafa Asyaddad https://creativecommons.org/licenses/by-sa/4.0
date: 2026-07-31
publication date: 2026-07-31
starting page: 178
ending page: 195
doi: 10.64595/lingtech.v2i2.157

Reading synthetic fiction: narrative coherence, aesthetic judgment, and reader trust in AI-generated literature
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description: Background: AI-generated fiction has become increasingly readable, yet its literary acceptance depends on more than fluency, because readers must also perceive coherent organization, aesthetic purpose, and trustworthy narrative agency across platforms, classrooms, publishing experiments, and increasingly ordinary digital reading environments worldwide today. Objective: This study investigates how narrative coherence, aesthetic judgment, and reader trust interact in the reception of synthetic fiction. Method: This study applies a qualitative-dominant comparative design to twelve English-language AI-generated short stories, combining a six-dimensional coherence matrix, a six-dimensional aesthetic rubric, and a six-dimensional trust framework with preserved reader-ranking metadata. Results: Most narratives sustained event sequence, temporal continuity, entity stability, and closure, although causal linkage remained comparatively uneven. Aesthetic evaluation was weaker than coherence, particularly in emotional resonance, interpretive depth, and imagery, while originality and stylistic control varied across models. Reader trust was strongest at the level of narrative reliability but declined when authenticity, intentionality, literary legitimacy, continuation, and recommendation were considered. Implication: These findings indicate that readable synthetic fiction may remain only conditionally literary when formal coherence is not accompanied by aesthetic distinction and perceived purpose. Novelty: This study advances an integrated reader-centered framework that separates intelligibility, literary valuation, and trust while preserving their analytical interdependence.
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creator: Devita Septian Dwi Hidayati
rights: Copyright (c) 2026 Devita Septian Dwi Hidayati https://creativecommons.org/licenses/by-sa/4.0
date: 2026-07-31
publication date: 2026-07-31
starting page: 160
ending page: 177
doi: 10.64595/lingtech.v2i2.156

Authorship after automation: originality, attribution, and creative responsibility in AI-assisted literary production
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description: Background: Generative artificial intelligence has unsettled conventional literary authorship by separating textual production from creative control, public attribution, and accountability across writers, platforms, publishers, and institutions. Objective: This study examines how originality, credit, disclosure, and responsibility are configured in publicly documented cases and governance materials concerning AI-assisted literary production. Method: A qualitative multiple-case documentary analysis was conducted on 27 verified public records, comprising primary, secondary, and contextual sources coded through matrices of creative control, attribution–disclosure alignment, and responsibility. Results: Stronger authorship claims appeared where human actors directed narrative purpose, selected alternatives, transformed generated material, and authorised publication. Attribution was most credible when disclosure specified the extent, function, timing, and audience of AI involvement, whereas delayed, private, or absent disclosure weakened correspondence between contribution and credit. Responsibility was distributed across authors, publishers, platforms, professional bodies, and model providers according to their control over production, classification, access, remuneration, and enforcement. Implication: Literary governance should align authorship claims and accountability obligations with demonstrable contribution, institutional capacity, and remedial power rather than with bylines or tool use alone. Novelty: This study offers an integrated, process-based framework that distinguishes textual generation, transformative originality, attributional transparency, and layered creative responsibility within one comparative, publicly available corpus.
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creator: Lam H. Tran
rights: Copyright (c) 2026 Lam H. Tran https://creativecommons.org/licenses/by-sa/4.0
date: 2026-07-31
publication date: 2026-07-31
starting page: 141
ending page: 159
doi: 10.64595/lingtech.v2i2.155

The style that was learned: large language models, imitation, and the ethics of literary influence
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description: Background: Large language models have transformed literary imitation into a scalable practice, complicating distinctions among stylistic influence, textual reproduction, authorship, and ethical appropriation. Objective: This study examines how author-conditioned generation produces stylistic convergence, preserves or transforms source relations, and acquires ethical legitimacy under documented research conditions. Method: This study applies paired stylometry, intertextual reproduction auditing, and an ethical literary influence matrix to ten public-domain literary excerpts, ten controlled model outputs, five methodological documents, and seven contextual sources. Results: Stylometric comparison reveals graded convergence, with recognizable authorial cues coexisting with substantial divergence in sentence architecture and other distributed features. Reproduction auditing identifies low lexical overlap, no shared four-grams, no source-character or source-event transfer, and consistently high transformation across all pairs. Ethical coding classifies risk as low because sources are public domain, authors are deceased, prompts and exemplars are disclosed, and human control is documented. Implication: These findings indicate that literary resemblance should not be treated automatically as authorship, memorization, plagiarism, or infringement, but evaluated through layered textual and contextual evidence. Novelty: This study advances a multidimensional framework that theorizes learned style as mediated literary influence shaped by convergence, transformation, provenance, and accountable use across computational, literary, legal, and contemporary ethical domains.
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creator: Nomvuselelo N. Nxumalo
creator: Seroja Ainun Nadhifah
rights: Copyright (c) 2026 Nomvuselelo N. Nxumalo, Seroja Ainun Nadhifah https://creativecommons.org/licenses/by-sa/4.0
date: 2026-07-31
publication date: 2026-07-31
starting page: 123
ending page: 140
doi: 10.64595/lingtech.v2i2.154

Prompting as poetic practice: human–AI collaboration and the making of algorithmic literary voice
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description: Background: Generative language models have transformed poetry writing into an iterative practice in which prompts, outputs, revisions, interfaces, and platforms jointly shape literary production. Objective: This study examines how prompting functions poetically, how creative agency is negotiated during human–AI collaboration, and how algorithmic literary voice emerges across documented digital writing practices. Method: A qualitative multiple-case corpus design analyzed 34 verified public documents, 41 text units, and 41 source-linked coding units through a Prompt–Rhetoric Coding Matrix, Human–AI Negotiation Sequence Analysis, and Algorithmic Literary Voice Profile. Results: Dialogic and evaluative prompting formed the largest prompting configuration, indicating that poetic composition depended on reformulation, assessment, and constraint rather than single-turn instruction. Human-directed control remained prominent across interaction sequences, although automation, platform mediation, and distributed participation produced several asymmetrical forms of collaboration. Hybrid and human-curated voice profiles exceeded purely model-conditioned patterns, demonstrating that literary voice developed through combined traces of prompting, editing, stylistic recurrence, attribution, code, and circulation. Implication: These findings reposition authorship as a traceable distribution of compositional decisions rather than a binary division between human and machine production. Novelty: This study integrates prompt rhetoric, interactional agency, and platform-mediated stylistics within one auditable framework for analyzing AI-assisted poetry in contemporary digital literary culture.
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creator: Muhammad Khairul Umam
rights: Copyright (c) 2026 Muhammad Khairul Umam https://creativecommons.org/licenses/by-sa/4.0
date: 2026-07-31
publication date: 2026-07-31
starting page: 105
ending page: 122
doi: 10.64595/lingtech.v2i2.153

When the machine writes back: generative AI, literary agency, and the reconfiguration of digital authorship
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description: Background: Generative artificial intelligence has destabilized conventional literary authorship by separating textual production from ownership, responsibility, and institutional recognition across digital publishing environments. Objective: This study examines how human writers, generative systems, editors, publishers, platforms, and cultural institutions redistribute literary agency, attribution, disclosure, and legitimacy. Method: Using a qualitative comparative corpus design, this study analyzed 42 public documents published between 2021 and 11 July 2026, comprising 15 primary, 13 secondary, and 14 contextual sources through distributed-authorship mapping, workflow-chain analysis, and paratextual governance analysis. Results: Human actors retained legal, editorial, and ethical primacy, although machines increasingly occupied visible roles in drafting, stylistic production, and symbolic co-authorship. Literary agency operated across prompting, generation, selection, revision, arrangement, performance, and publication rather than residing exclusively in sentence production. Disclosure functioned constitutively, legitimizing experimentation in some contexts while enabling suspicion, restriction, or prohibition in others. Implication: Digital authorship should therefore be evaluated as a governed attribution network in which distributed creativity remains asymmetrical because accountability continues to rest with identifiable human and institutional actors. Novelty: This study integrates literary texts, creator accounts, publisher paratexts, media reception, platform rules, and policy documents within one auditable framework connecting attribution, workflow, and governance across contemporary transnational literary ecosystems.
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creator: Aisultanova Karlygash Abdukalykowna
creator: Syaiful Islam
rights: Copyright (c) 2026 Aisultanova Karlygash Abdukalykowna, Syaiful Islam https://creativecommons.org/licenses/by-sa/4.0
date: 2026-07-31
publication date: 2026-07-31
starting page: 88
ending page: 104
doi: 10.64595/lingtech.v2i2.152

Teaching digital literature in secondary school: multimodal meaning-making and students’ interpretive engagement
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description: Background: The growing use of digital platforms in secondary education has changed how literature is accessed, discussed, and produced, yet many classroom practices still treat technology mainly as a tool for distributing materials rather than as part of literary meaning-making. Objective: This study aims to examine how digital literature is taught in one public senior high school in East Java. Method: Using a qualitative case study design, this research analysed lesson documents, teaching materials, selected digital literary texts, classroom observations, platform interactions, student reflections, creative products, teacher interviews, selected student interviews, and assessment artefacts through TPACK Analysis, Multimodal Discourse Analysis, and Reader-Response Analysis. Results: The findings show that technology integration was uneven: Google Classroom, Padlet, Canva, mobile phones, online texts, and projection media supported access, discussion, reflection, and production, but lesson objectives and assessment rubrics still relied heavily on print-based literary categories. Digital literary texts expanded meaning-making through verbal, visual, auditory, spatial, kinetic, interactive, and platform-based modes. Implication: Students demonstrated strong affective, social, and creative engagement, especially through digital poems, visual stories, posters, and video responses, but they experienced difficulty with hyperlinks, non-linear narration, interface structures, and multimodal coherence. Novelty: The novelty of this study lies in proposing a corpus-based classroom framework that connects TPACK, multimodal discourse, and reader-response perspectives to examine digital literature as instructional design, textual form, and student reading experience.
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creator: Dewi Masyithoh
rights: Copyright (c) 2025 Dewi Masyithoh https://creativecommons.org/licenses/by-sa/4.0
date: 2025-01-31
publication date: 2025-01-31
starting page: 61
ending page: 72
doi: 10.64595/lingtech.v1i0.148

Reader participation, platform affordances, and interactive meaning-making in online literary environments
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description: Background: The growth of online literary environments has transformed reading from a private act of textual reception into a participatory, interactive, and platform-mediated cultural practice in which readers comment, evaluate, classify, recommend, and circulate literary works. Objective: This study aims to examine how reader participation and interactivity are constructed through the relationship among digital narrative structures, reader responses, and platform affordances in online literary environments. Method: Using a qualitative digital textual design, this study analyzes digital literary works, reader comments, votes, kudos, bookmarks, tags, author’s notes, content warnings, interface features, and participation metrics from Electronic Literature Collection, Wattpad, Archive of Our Own, and ELMCIP Knowledge Base. Results: The findings show that interactive narrative structures operate through hyperlink-based navigation, multimodal activation, serial continuation, paratextual framing, and interface-mediated reader movement. Implication: Reader responses demonstrate that literary meaning is produced through affective engagement, interpretation, evaluation, communal interaction, curation, and textual circulation. Novelty: This study contributes to digital literary studies by integrating digital narratology, reader-response analysis, and platform/interface analysis into a unified framework for understanding online literature as a socio-technical literary ecology.
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creator: Suaidi
rights: Copyright (c) 2025 Suaidi https://creativecommons.org/licenses/by-sa/4.0
date: 2025-01-31
publication date: 2025-01-31
starting page: 49
ending page: 60
doi: 10.64595/lingtech.v1i0.147

Multimodal poetics in digital literature: a corpus-based analysis of visual-verbal design, screen-based textuality, and reader interaction
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description: Background: Digital literature has transformed literary experience by shifting reading from a page-bound encounter with verbal text into a screen-based engagement with visual design, textual movement, interface structure, and reader participation. Objective: This study aims to examine how selected digital-born literary works construct meaning through the integrated operation of verbal, visual, and interactive forms. Method: Using a qualitative interpretive design, the study analyses works drawn from recognized electronic literature archives through Multimodal Discourse Analysis, Digital Poetics Analysis, and Interface and Interaction Analysis. Results: The findings show that visual-verbal configuration functions as a core poetic mechanism, in which typography, layout, image, colour, spatial arrangement, and screen composition actively reshape verbal meaning. The study also finds that fragmentation, movement, and screen-based textuality expand poetic form beyond stable printed structures by making language dynamic, procedural, and temporally organized. Implication: Reader navigation further emerges as a crucial mode of meaning-making, as clicking, scrolling, selecting, waiting, observing, and activating textual elements transform reading into a performative negotiation between agency and constraint. Novelty: The novelty of this study lies in its corpus-based multimodal poetics framework, which integrates visual-verbal design, digital textual dynamics, and interactive readerly performance into a single analytical model for examining digital-born literature.
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creator: Ridhatullah Assyabani
rights: Copyright (c) 2025 Ridhatullah Assyabani https://creativecommons.org/licenses/by-sa/4.0
date: 2025-01-31
publication date: 2025-01-31
starting page: 37
ending page: 48
doi: 10.64595/lingtech.v1i0.146

Language, code, and platform-mediated textuality in electronic literature
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description: Background: Digital literary platforms have transformed literary production and reception by making language inseparable from code, interface, hyperlink, metadata, archive, and platform infrastructure. Objective: This study aims to examine how language, code, and textuality operate in electronic literature by focusing on selected works and records from the Electronic Literature Collection, ELMCIP Knowledge Base, The NEXT, IFDB, Interactive Fiction Archive, and Twine-based interactive fiction. Method: Using a qualitative interpretive design, the study combines Digital Discourse Analysis, Platform Studies, and Code/Textual Analysis to examine verbal units, hyperlinks, interface elements, metadata records, branching structures, navigational cues, and accessible code-related procedures. Results: The findings show that digital discourse organizes reading through commands, hyperlinks, menus, choices, metadata labels, and navigational cues that position readers as navigators, operators, assemblers, cartographers, and constrained agents. Implication: The findings also reveal that platforms and interfaces function as material conditions that classify, preserve, display, authorize, and regulate access to digital literary works through entry pages, metadata fields, emulator notes, file formats, browser layouts, and curatorial descriptions. Novelty: The novelty of this study lies in its integrated methodological framework, which treats electronic literature as a linguistic, procedural, infrastructural, and executable literary system rather than merely as digitized textual content.
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creator: Seroja Ainun Nadifah
rights: Copyright (c) 2025 Seroja Ainun Nadifah https://creativecommons.org/licenses/by-sa/4.0
date: 2025-01-31
publication date: 2025-01-31
starting page: 25
ending page: 36
doi: 10.64595/lingtech.v1i0.145

From hypertext to interactive narrative: structure, agency, and multimodal meaning-making of e-literature
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description: Background: The expansion of digital culture has transformed literature from a print-based, linear, and author-centered form into a computational, multimodal, and interactive system of meaning-making. Objective: This study aims to examine the evolution of electronic literature from hypertext fiction to interactive narrative by analyzing how textual structure, reader agency, and multimodal experience change across selected digital literary forms. Method: Using a qualitative digital humanities design, the study analyzes selected works and metadata from curated electronic literature archives, including the Electronic Literature Collection, ELMCIP Knowledge Base, The NEXT, and Pathfinders, through hypertextual structure analysis, interactive narrative analysis, and multimodal discourse analysis. Results: The findings show that early hypertext fiction replaces linear sequence with nodes, links, lexias, screens, and navigational pathways that reposition the reader as an active explorer of textual architecture. Implication: This study also reveals that interactive narrative expands reader agency from pathway selection into decision-making, action, feedback, interface-mediated participation, and narrative consequence within responsive story systems. Novelty: The novelty of this study lies in its integrative analytical model that connects hypertextual architecture, participatory agency, and multimodal transformation as three interrelated dimensions in the evolution of electronic literature.
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creator: Nurmalita Herdiana
rights: Copyright (c) 2025 Nurmalita Herdiana https://creativecommons.org/licenses/by-sa/4.0
date: 2025-01-31
publication date: 2025-01-31
starting page: 13
ending page: 24
doi: 10.64595/lingtech.v1i0.144

Mapping the field of digital literary studies: concepts, methods, and emerging directions
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description: Background: The expansion of digital archives, computational tools, platform-based reading practices, and artificial intelligence has transformed literary studies into a field where texts are increasingly examined as data, networks, interfaces, and machine-mediated cultural objects. Objective: This study aims to map the field of digital literary studies by identifying its dominant concepts, methodological clusters, and emerging research directions. Method: Methodologically, the study employs a qualitative-dominant field-mapping design supported by bibliometric description, keyword co-occurrence mapping, bibliometric-oriented science mapping, and corpus-assisted thematic analysis of selected scholarly metadata, abstracts, keywords, and conceptual statements. Results: The findings show that digital literary studies is organised around five major formations: digital humanities and literary interpretation, computational and distant reading, electronic literature and digital textuality, cultural analytics and platform-based literary circulation, and AI-oriented literary analysis. Implication: The study also reveals that literary objects are increasingly conceptualised as archives, corpora, graphs, interfaces, platforms, datasets, and algorithmic outputs. Novelty: The novelty of this study lies in its integrated mapping of concepts, methods, and future directions within digital literary studies.
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creator: Achmad Fawaid
rights: Copyright (c) 2025 Achmad Fawaid https://creativecommons.org/licenses/by-sa/4.0
date: 2025-01-31
publication date: 2025-01-31
starting page: 1
ending page: 12
doi: 10.64595/lingtech.v1i0.143

Poetics of algorithmic excess: digital aesthetics in Indonesia’s Twitter poetry bot
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description: Background: The rapid expansion of social media platforms has transformed literary production, enabling algorithmic poetry to emerge as a digital-native form that challenges conventional notions of authorship, meaning, and aesthetic value. Objective: This study examines how Indonesian Twitter bot poetry operates as a poetics of algorithmic excess, with attention to formal patterns, semantic instability, and platform-mediated authorship. Method: Using a qualitative digital humanities approach, the research analyzes a corpus of 240 poems generated by an Indonesian Twitter poetry bot through close reading, pattern identification, and platform-aware interpretation. Results: The findings show that algorithmic repetition and structural fragmentation function as dominant formal strategies, displacing expressive intentionality with procedural regularity. Semantic noise and randomness produce episodic meaning, shifting interpretive responsibility from author to reader. Platform circulation redistributes authorship among algorithms, users, and infrastructural systems, positioning Twitter/X as a co-author in literary production. Implications: Algorithmic poetry constitutes a legitimate literary practice shaped by platform capitalism and posthuman creativity. Novelty: The study offers a Global South perspective on digital poetics by theorizing algorithmic excess as an aesthetic principle within platform-mediated literature.
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creator: Yahya Auliya Abdillah
rights: Copyright (c) 2026 Yahya Auliya Abdillah https://creativecommons.org/licenses/by-sa/4.0
date: 2026-01-30
publication date: 2026-01-30
starting page: 75
ending page: 87
doi: 10.64595/lingtech.v2i1.138

Digital literary cartography and colonial space: re-mapping spatial imaginations in Robinson Crusoe and Max Havelaar
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description: Background: The spatial turn in literary studies and digital humanities highlights the need to reassess how colonial space is constructed through the interaction between narrative and cartographic knowledge. Objective: This study examines how colonial spatial imagination is produced, contested, and differentiated in Robinson Crusoe (1719) and Max Havelaar (1860) through digital literary cartography. Method: Using a qualitative digital humanities design, the research integrates close textual analysis with historical cartographic materials and spatial metadata, focusing on Atlantic navigation maps, West Indies and New England coastal maps, and administrative maps of Java and Bantam. Results: The findings show that Robinson Crusoe aligns with a cartographic logic of enclosure and maritime circulation, reinforced by island, Atlantic, and West Indies maps that normalize spatial mastery. In contrast, Max Havelaar articulates a fragmented administrative geography, revealed through maps of Java and the Dutch East Indies that expose bureaucratic segmentation and ethical tension. Comparative re-mapping demonstrates divergent cartographic epistemologies shaped by exploration versus governance. Implication: Digital literary cartography reveals colonial space as an ideological construct rather than a neutral backdrop. Novelty: The study offers a comparative Global South–oriented cartographic reading that repositions maps as critical epistemic texts in colonial literature.
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creator: Fitriya Dessi Wulandari
creator: René Faruk Garzozi Pincay
creator: Dian Muhammad Rifai
rights: Copyright (c) 2026 Fitriya Dessi Wulandari, René Faruk Garzozi Pincay, Dian Muhammad Rifai https://creativecommons.org/licenses/by-sa/4.0
date: 2026-01-30
publication date: 2026-01-30
starting page: 59
ending page: 74
doi: 10.64595/lingtech.v2i1.135

Text mining and semantic modeling of literary corpora: a machine learning–based study of Indonesian fiction
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description: Background: The large-scale digitization of Indonesian literary works has produced extensive textual corpora that challenge conventional close-reading approaches and call for systematic, data-driven methods capable of capturing thematic, semantic, and affective patterns in fiction. Objective: This study aims to examine how text mining and semantic modeling can reveal lexical salience, intertextual relations, and narrative emotion in Indonesian fiction across different thematic orientations. Method: Using a quantitative corpus-based design, the study analyzes 36 Indonesian literary texts published between 1980 and 2022 through TF–IDF–based lexical analysis, document-level semantic embeddings with cosine similarity and clustering, and sentence-level sentiment analysis. Results: The findings show distinct lexical signatures that differentiate thematic clusters, coherent semantic groupings reflecting intertextual proximity, and sentiment trajectories dominated by neutral-to-negative polarity with strategically placed affective peaks across narrative progression. Implication: These results demonstrate that computational methods can empirically support literary analysis without displacing interpretive criticism. Novelty: The study integrates lexical, semantic, and affective modeling within a unified framework for Indonesian fiction, offering a scalable and replicable approach to digital literary studies.
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creator: Rinda Widya Ikomah
creator: Zohaib Hassan Sain
rights: Copyright (c) 2026 Rinda Widya Ikomah, Zohaib Hassan Sain https://creativecommons.org/licenses/by-sa/4.0
date: 2026-01-30
publication date: 2026-01-30
starting page: 45
ending page: 58
doi: 10.64595/lingtech.v2i1.133

Digital reading platforms in literary learning: cultural understanding and engagement in Indonesian and Malay texts
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description: Background: The increasing use of digital reading platforms in humanities education has transformed how readers interact with texts, yet their impact on literary engagement, cultural understanding, and interpretive depth in Southeast Asian literary learning remains underexplored. Objective: This study investigates how digital reading platforms shape engagement, cultural meaning-making, and interpretive depth in the reading of Indonesian and Malay texts. Method: Employing a mixed-methods design, the study analyzes digitally mediated interactions—annotations, discussions, and reflective responses—across a curated corpus of canonical Indonesian and Malay works (published between the 1970s and 2010s) accessed through institutional digital reading platforms. Results: The findings reveal distinct patterns of digital engagement, with Indonesian texts eliciting stronger annotation-based interaction and Malay texts fostering more dialogic discussion. Cultural understanding emerges in differentiated forms, combining historical–political contextualization and ethical–communal interpretation. Furthermore, digital mediation supports advanced literary interpretation, including thematic synthesis, ideological critique, and intertextual reasoning. Implication: These results indicate that digital reading platforms function as cultural and interpretive mediation spaces rather than neutral technologies. Novelty: This study integrates literature-specific interpretive indicators with platform-based empirical data, offering a culturally grounded model of digital literary learning.
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creator: Mohd Roslan Mohd Nor
creator: Ahmad Zubaidi
rights: Copyright (c) 2026 Mohd Roslan Mohd Nor, Ahmad Zubaidi https://creativecommons.org/licenses/by-sa/4.0
date: 2026-01-30
publication date: 2026-01-30
starting page: 29
ending page: 44
doi: 10.64595/lingtech.v2i1.131

From manuscript to metadata: preserving Indonesian literary heritage in the contemporary digital transition
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description: Background: The contemporary digital transition has transformed Indonesian literary heritage by shifting literary production from physical manuscripts to born-digital artifacts, while archival infrastructures and metadata practices struggle to keep pace with this change. Objective: This study aims to examine how material transformation, metadata inequality, and digital writing practices collectively reshape literary preservation and authorship in Indonesia. Method: Using a qualitative interpretive approach grounded in digital humanities and archival studies, the research analyzes a multi-layered corpus comprising institutional archives, author-managed digital materials, and platform-based literary outputs through comparative archival analysis and visual-analytic mapping. Results: The findings reveal three interrelated patterns: a dominance of born-digital literary materials accompanied by low archival stability, a stratified metadata landscape that privileges institutional archives over platform-based environments, and a structural tension between high textual productivity and fragile preservation in digital authorship practices. Implication: These patterns indicate that digital literary abundance does not guarantee cultural memory without coordinated archival mediation. Novelty: This study introduces a visual–relational framework that reframes Indonesian literary heritage as an infrastructural and authorially contingent process within the digital transition.
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creator: M Naveen Kumar
creator: Moh. Ainol Yaqin
rights: Copyright (c) 2026 M Naveen Kumar, Moh. Ainol Yaqin https://creativecommons.org/licenses/by-sa/4.0
date: 2026-01-30
publication date: 2026-01-30
starting page: 16
ending page: 28
doi: 10.64595/lingtech.v2i1.130

Mapping thematic patterns in Indonesian novels through concept mining and computational linguistics
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description: Background: The expansion of Indonesian novels across historical periods has produced complex and overlapping thematic formations that remain difficult to map systematically using conventional close-reading approaches. Objective: This study aims to identify dominant themes, trace their temporal shifts, and examine conceptual overlap among Indonesian novels through a computational framework. Method: Employing a digital humanities approach, the study analyzes a corpus of 30 Indonesian novels (1920-2022) using concept mining, CF-IDF weighting, semantic similarity measurement, and network analysis. Results: The findings reveal dominant thematic clusters centered on social inequality, nationalism, gender, religion, and modernization; clear temporal shifts in thematic emphasis across literary periods; and dense conceptual overlap, with social inequality functioning as a central thematic hub. Theme–theme projection and betweenness centrality analysis further demonstrate that thematic meaning emerges through relational structures rather than isolated categories. Implication: These results strengthen empirical literary analysis by integrating computational rigor with interpretive criticism. Novelty: This study introduces a replicable, network-based thematic mapping model for Indonesian novels, advancing computational literary studies in the Indonesian context.
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creator: Kun Andyan Anindita
creator: Susan Hockey
creator: Tomi Wahyu Septarianto
rights: Copyright (c) 2026 Kun Andyan Anindita, Susan Hockey, Tomi Wahyu Septarianto https://creativecommons.org/licenses/by-sa/4.0
date: 2026-01-30
publication date: 2026-01-30
starting page: 1
ending page: 15
doi: 10.64595/lingtech.v2i1.128

The role of interactive gamification through Wordwall Apps to improve students’ engagement and literary comprehension
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description: Background: This study explores the efficacy of interactive gamification through Wordwall Apps in enhancing literary comprehension and student engagement in educational settings. Objective: The aim is to determine whether gamification techniques with Wordwall Apps can significantly improve literary learning outcomes compared to traditional teaching methods. Method: Utilizing a quasi-experimental design, the research involved control and experimental groups from a sample of high school students, where the latter engaged in gamified learning activitie with Wordwalls. Results: The findings reveal that Wordwall gamification markedly increases student engagement and deepens literary comprehension, as evidenced by higher post-test scores in the experimental group compared to the control. Implication: These results suggest that interactive gamification not only makes learning more enjoyable but also more effective, encouraging a deeper interaction with literary content. Novelty: This not only renews the pedagogical perspective but also broadens the educational discourse by introducing dynamic variables and methods that address the cognitive needs of the modern learner.
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creator: Najihah Abd Wahid
creator: Farhan
creator: Mualim Wijaya
rights: Copyright (c) 2025 Najihah Abd Wahid, Farhan, Mualim Wijaya https://creativecommons.org/licenses/by-sa/4.0
date: 2025-06-30
publication date: 2025-06-30
starting page: 103
ending page: 114
doi: 10.64595/lingtech.v1i1.21

Reimagining textuality: digital convergence and literary adaptation in Indonesia
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description: Background: This article explores the multimodal circulation of Indonesian literary texts through television and digital adaptations, focusing on their implications for the conceptualization and cultural valuation of literature in the digital age. Objective: The technological boom and evolving reading practices have shaped how literature is disseminated, especially through intersemiotic media platforms. Method: Drawing on theories of cyberculture and media convergence (David Bell dan Tim Dwyer), this study analyzes examples such as the adaptation of Laskar Pelangi by Andrea Hirata into film and television, Bumi Manusia by Pramoedya Ananta Toer into cinema, and Tenggelamnya Kapal Van Der Wijck by Hamka into both screen and digital fandoms. Results: These cases reveal a cultural ecosystem in which television, internet platforms, and user-generated content converge to sustain literary texts and cultivate new modes of engagement. Implication: The role of the intellectual is not to mourn the “loss” of traditional literary values, but to explore the new affordances of digital storytelling, critical fandom, and narrative remixing as legitimate—and increasingly influential—modes of cultural expression. Novelty: The shift from print-centered authority to interactive and collaborative reinterpretation challenges traditional notions of originality and authorship while expanding access to literature across social strata.
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creator: Moh Atikurrahman
rights: Copyright (c) 2025 Moh Atikurrahman https://creativecommons.org/licenses/by-sa/4.0
date: 2025-06-30
publication date: 2025-06-30
starting page: 125
ending page: 132
doi: 10.64595/lingtech.v1i1.30

Virtual reality as narrative medium: the emotional effects of full immersion in VR-based film Aladin
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description: Background: Virtual Reality (VR) has emerged as a transformative medium, offering immersive storytelling experiences compared to traditional 2D films. Objective: This study aims to compare emotional and physiological responses elicited by Virtual Reality (VR) and Youtube (YT) versions of Aladin: Escape the Cave of Wonders. Method: Using a mixed-methods approach, emotional data were collected through PANAS (Positive and Negative Affect Schedule), while physiological responses such as skin temperature (SKT), heart rate (HR), and respiratory patterns were recorded. Results: Results indicate that VR elicits stronger emotional engagement, with significant increases in negative affect (e.g., fear and nervousness) and higher HR compared to YT films. Scene-specific analyses reveal that immersive environments amplify emotions during intense scenes, supported by physiological markers of heightened arousal. Implication: This research advances the understanding of how immersive media like VR can redefine narrative engagement, with implications for fields ranging from media psychology to digital storytelling. Novelty: This study underscores VR’s potential as a narrative medium and provides insights into its application for enhancing audience engagement across genres.
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creator: Arvina Dwi Romadhani
rights: Copyright (c) 2025 Arvina Dwi Romadhani https://creativecommons.org/licenses/by-sa/4.0
date: 2025-06-30
publication date: 2025-06-30
starting page: 115
ending page: 124
doi: 10.64595/lingtech.v1i1.29

Transmedia storytelling in expanding audience’s engagement: a phenomenological study of Nussa Rara
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description: Background: The evolution of digital storytelling has transformed audience engagement, particularly through the utilization of multiple media platforms. Objective: This study aims to explore how the Nussa Rara franchise has expanded its narrative universe across various platforms—YouTube, a feature film, interactive AR, and merchandise—to enhance audience experience and engagement. Method: Using a qualitative research approach, the study analyzed content and collected audience feedback through interviews and surveys. Results: Results indicate that each platform uniquely contributes to deepening the narrative experience, with YouTube providing accessibility, the film adding emotional depth, AR enhancing interactivity, and merchandise creating a tangible connection to the story. Implication: These findings underscore the effectiveness of integrated media strategies in building compelling transmedia narratives. Novelty: The findings contribute to scholarly discussions by illustrating how different media formats can be harmoniously integrated to enhance storytelling.
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creator: Hasan bin Jali
creator: Mawaidi
creator: Lalu Habiburrahman
rights: Copyright (c) 2025 Hasan bin Jali, Mawaidi, Lalu Habiburrahman https://creativecommons.org/licenses/by-sa/4.0
date: 2025-06-30
publication date: 2025-06-30
starting page: 93
ending page: 102
doi: 10.64595/lingtech.v1i1.20

Digital poetics in the classroom: the role of Taroko Gorge in increasing students’ engagement and critical thinking skills
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description: Background: The integration of generative e-poetry like Taroko Gorge into literary education addresses the growing need to bridge traditional and digital literacy in contemporary learning environments. Objective: This study aims to explore how Taroko Gorge enhances students’ engagement and critical thinking, and to identify the possible strategies for its integration into curricula. Method: Using a qualitative approach, this research combines observations, documentation, and interviews with 85 English Literature students at a university in East Java. Results: The findings of this study reveal that Taroko Gorge fosters high levels of engagement and analytical rigor while challenging students to adapt to dynamic textual interpretations. Effective integration strategies include interactive discussions and scaffolded analysis, which align with its generative nature. Implication: The implication is profound: generative e-poetry like Taroko Gorge not only revitalizes interest in literature but also prepares students to engage critically with evolving textual forms. Novelty: This study contributes to pedagogical innovation by positioning e-poetry as a transformative tool for modern literary education.
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creator: Bannaga Taha Al-Zubair Hussen
creator: Cut Irna Liyana
creator: Nadifah
rights: Copyright (c) 2025 Bannaga Taha Al-Zubair Hussen, Cut Irna Liyana, Nadifah https://creativecommons.org/licenses/by-sa/4.0
date: 2025-06-30
publication date: 2025-06-30
starting page: 83
ending page: 92
doi: 10.64595/lingtech.v1i1.4

Understanding reader navigation patterns in multi-path hypertext fiction: a case study approach to Patchwork Girl
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description: Background: The rise of hypertext fiction has transformed narrative structures, challenging traditional reading behaviors and comprehension strategies. Objective: This study aims to investigate how readers navigate and engage with Patchwork Girl, a seminal work in hypertext fiction, focusing on navigation patterns, motivations, and their impact on comprehension and engagement. Method: Employing a qualitative case study approach, the research involved 110 undergraduate English majors, using observations, interviews, and thematic analysis to uncover patterns and insights. Results: Findings revealed three dominant navigation strategies—linear, exploratory, and random—each influenced by motivations such as curiosity, thematic alignment, and a desire for agency. Implication: Linear navigation resulted in higher comprehension, while exploratory navigation fostered moderate engagement, and random navigation led to cognitive overload and fragmented understanding. Novelty: These findings underscore the importance of balancing narrative complexity with user guidance in hypertext design, offering valuable implications for digital storytelling and educational applications.
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creator: Nurul Hijja Mazlan
creator: Candra Rahma Wijaya Putra
creator: Hary Sulistyo
rights: Copyright (c) 2025 Nurul Hijja Mazlan, Candra Rahma Wijaya Putra, Hary Sulistyo https://creativecommons.org/licenses/by-sa/4.0
date: 2025-06-30
publication date: 2025-06-30
starting page: 73
ending page: 82
doi: 10.64595/lingtech.v1i1.3