Fadilah Wasiqah
Universitas Terbuka Yogyakarta

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Language ideologies and media representation: framing Madurese dialects in Indonesian television news Fadilah Wasiqah
Indonesian Journal of Language and Communication Studies Vol. 1 No. 1 (2026): Language, media, and society in contemporary Indonesia
Publisher : CV Narasi Khatulistiwa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67490/ijlc.v1i1.508

Abstract

Background: Indonesian television news operates within a sociolinguistic landscape where standard language ideology often shapes the representation of regional dialects, influencing public perceptions and linguistic equity. Objective: This study aims to examine how language ideologies, framing strategies, and multimodal practices interact to construct the portrayal of the Madurese dialect in provincial news broadcasts. Method: Using a qualitative design, the research integrates Critical Discourse Analysis, Framing Analysis, and Multimodal Discourse Analysis on purposively sampled TVRI Jatim segments containing dialectal speech, captions, and narration. Results: The results show that standard language ideology dominates, with dialects frequently reframed into standardized Indonesian, symbolically linked to rural identity, and commodified as cultural elements. Framing patterns often position dialect use within problem-oriented narratives, attributing socio-economic challenges to linguistic proficiency while offering assimilationist solutions. Multimodal analysis reveals visual and compositional choices that reinforce linguistic hierarchies, with captions simplifying dialectal content and visuals emphasizing traditional settings. Implication: These findings imply that broadcast media must adopt editorial practices that balance communicative clarity with equitable representation, fostering more inclusive and accurate portrayals of linguistic diversity. Novelty: This study contributes to the integration of critical, framing, and multimodal discourse approaches to reveal how standard language ideology systematically mediates and reshapes the representation of regional dialects in Indonesian television news.
Imagining the algorithmic city: bias, cultural authenticity, and spatial futures in AI-generated representations of Indonesian urban environments Fadilah Wasiqah
Indonesian Journal of Language, Space, and Visual Arts Vol. 1 No. 2 (2026): Contested spaces, algorithmic visualities, and public memory in Indonesia
Publisher : CV Narasi Khatulistiwa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67490/ijls.v1i2.897

Abstract

Background: Generative artificial intelligence increasingly mediates how Indonesian cities are visualized, yet its synthetic urban imagery may privilege iconic infrastructure and global metropolitan aesthetics while weakening social, linguistic, and cultural complexity. Objective: This study examines how algorithmic bias, cultural authenticity, and spatial futurity are constructed across AI-generated representations of Jakarta, Surabaya–Madura, Bandung, Yogyakarta, and national urban futures. Method: A comparative qualitative multimodal design analyzes twelve static AI-generated images, supported by secondary scholarship and official contextual documents, through spatial representation auditing, a cultural-authenticity and semiotic-specificity matrix, and spatial-futures narrative analysis. Results: Findings show that skylines, monuments, bridges, and engineered environments provide strong geographical recognizability, whereas informal spaces and socially differentiated actors remain comparatively marginal. Cultural identity is retained primarily through landmarks and religious architecture, but vernacular forms, linguistic signage, and everyday practices receive substantially less visibility. Implication: Future orientation is expressed mainly through technological order, polished infrastructure, and globally legible urban form, while ecological complexity and social inclusion remain limited. Novelty: This study contributes an integrated analytical framework demonstrating that representational bias may operate through selective preservation rather than complete cultural erasure, thereby connecting urban visual analysis, cultural semiotics, and critical AI urbanism within a comparative Indonesian context and offering a transferable approach for evaluating synthetic cities.