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All Journal Lingua Technica: Journal of Digital Literary Studies Lingua Technica: Journal of Digital Literary Studies Indonesian Journal of Applied Community Research
Yahya Auliya Abdillah
Universitas Amikom Yogyakarta
Arts Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Other

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Poetics of algorithmic excess: digital aesthetics in Indonesia’s Twitter poetry bot Yahya Auliya Abdillah
Lingua Technica: Journal of Digital Literary Studies Vol. 2 No. 1 (2026): Literature and computation: mapping, modeling, and mediation
Publisher : Asosiasi Relawan dan Pengelola Jurnal LPTNU (ARJUNU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64595/lingtech.v2i1.138

Abstract

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.
Poetics of algorithmic excess: digital aesthetics in Indonesia’s Twitter poetry bot Yahya Auliya Abdillah
Lingua Technica: Journal of Digital Literary Studies Vol. 2 No. 1 (2026): Literature and computation: mapping, modeling, and mediation
Publisher : Asosiasi Relawan dan Pengelola Jurnal LPTNU (ARJUNU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64595/lingtech.v2i1.138

Abstract

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.
Poetics of algorithmic excess: digital aesthetics in Indonesia’s Twitter poetry bot Yahya Auliya Abdillah
Lingua Technica: Journal of Digital Literary Studies Vol. 2 No. 1 (2026): Literature and computation: mapping, modeling, and mediation
Publisher : Asosiasi Relawan dan Pengelola Jurnal LPTNU (ARJUNU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64595/lingtech.v2i1.138

Abstract

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.
Beyond digital access: co-designing inclusive artificial intelligence services with underserved Indonesian communities Yahya Auliya Abdillah
Indonesian Journal of Applied Community Research Vol. 1 No. 2 (2026): Co-creation, community resilience, and just transitions in Indonesia
Publisher : CV Narasi Khatulistiwa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67490/ijac.v1i2.939

Abstract

Background: Underserved communities in Kecamatan Paiton, Kabupaten Probolinggo, face unequal capacity to interpret and shape AI-assisted services despite living in a subdistrict of 67,709 residents within a regency where poverty reached 16.31% in 2025. Objective: This community engagement program aimed to co-design inclusive AI service scenarios with 30–50 community participants, including women microentrepreneurs, youth, village cadres, small farmers, pesantren/community learners, and coastal residents. Method: This program used a planning–implementation–monitoring-evaluation design supported by baseline surveys, attendance sheets, observation checklists, product rubrics, pre-post questionnaires, FGD guides, and partner validation forms. Results: Planning results were organized around 2–3 coordination meetings, 30–50 targeted needs-assessment responses, 4–6 stakeholder groups, and 3–5 prepared instruments. Implementation results were structured through 1 orientation session, 2–4 core workshops, 4–8 weeks of mentoring, ≥60–70% targeted output completion, and 5–8 documented AI service practice products. Implication: Monitoring-evaluation results used ≥75% attendance, ≥20% capacity improvement benchmarks, 1–2 validation forums, 1 institutional follow-up plan, and a 3–6 month sustainability review as evaluation indicators. Novelty: The novelty of this program lies in integrating participatory AI co-design, simple quantitative monitoring, community reflection, and institutional follow-up into a data-based community development model.
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