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Language, Technology, and Social Media
Published by WISE Pendidikan Indonesia
ISSN : -     EISSN : 30267196     DOI : https://doi.org/10.70211/ltsm
Core Subject : Humanities, Education, Social,
Humanities Education Languange, Linguistic, Communication & Media Social Sciences
Language Technology and Social Media is a peer-reviewed journal dedicated to the publication of high-quality research findings in the field of language technology and social media without implicit limitations. All publications in Language Technology and Social Media are freely accessible enabling articles to be available online without any subscription. Language Technology and Social Media is an open access journal fully referenced exclusively published online since 2023. The journal is issued two times a year. The purpose of this journal is to disseminate research results to educators researchers and practitioners in the language field concerning issues related to technology and language education. The focus of Language Technology and Social Media goes beyond technology itself rather it centers on matters concerning language learning language teaching and how these aspects are influenced or enhanced by the use of digital technology and social media. Language Technology and Social Media is overseen by an editorial board comprising experts in the fields of language technology and social media studies. Language Technology and Social Media is professionally managed by Wise Pendidikan Indonesia to assist academics researchers and practitioners in disseminating their research results. Language Technology and Social Media has been an academic platform for authors editors and reviewers from many countries. The editorial team of the journal is committed to maintain the geographical diversity of contributors to enhance the journals quality.
Arjuna Subject : Seni dan Humaniora - Bahasa dan Linguistik
Articles 64 Documents
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AI Ethics as Epistemological Governance: A Systematic Literature Review on Knowledge and Authority in the Age of Generative AI Cahyo Prianto; Mumu Komaro; Saripudin
Language, Technology, and Social Media Vol. 4 No. 2 (2026): June 2026 | Language, Technology, and Social Media
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/ltsm.3026-7196.403

Abstract

This Systematic Literature Review (SLR) explores research trends on the ethics of generative AI use and how ethical issues are discussed within it, mapping geographical distribution and examining AI epistemic governance. This systematic literature review employs the PRISMA method, with a literature search conducted through the Scopus database, filtered based on keywords related to generative AI Ethics in Quartiles Q1 and Q2 and limited to the period 2020–2026, resulting in 39 articles for further analysis in this SLR. The research trend has continuously increased from year to year, and 2025 became the year with the highest number of studies addressing the ethics of generative AI use. This indicates a strengthening academic attention to ethical and epistemic issues in AI. The literature is dominated by themes of ethical concerns in the use of generative AI, such as bias, data privacy, transparency, accountability, misinformation, academic integrity, and cognitive dependence on generative AI. This study also finds that generative AI is most frequently positioned as a knowledge generator, while the combination of training data bias and cultural bias constitutes the most dominant epistemic issue. In the dimension of epistemic dependency, human dependence on AI is the most frequently discussed theme. This demonstrates growing concerns regarding the weakening of human autonomy, control, and cognitive capacity. From the perspective of authoritative actors, the scientific community occupies the strongest position, while multi-stakeholder governance emerges as the most widely supported governance model. These findings affirm that AI governance is understood as a complex issue that cannot be resolved by a single actor, but rather requires collaboration.
AI Power, Resistance, and Cultural Hegemony in The Golden Legend: A Foucauldian and Gramscian Analysis Anam Javed; Daryoosh Hayati
Language, Technology, and Social Media Vol. 4 No. 2 (2026): June 2026 | Language, Technology, and Social Media
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/ltsm.3026-7196.422

Abstract

This study examines how power, resistance, and cultural hegemony are represented in Nadeem Aslam’s The Golden Legend, with particular attention to the discursive construction of religious minority identity, gendered vulnerability, and ideological belonging in a postcolonial society. The study responds to the need for a more integrated reading of the novel, since previous scholarship has generally examined religious intolerance, minority representation, gendered subjectivity, nationalism, or Foucauldian surveillance as relatively separate concerns. Using a qualitative, interpretive, and non-empirical textual approach, the study applies Foucault’s concepts of disciplinary power, subjectification, discourse, and resistance, complemented by Gramsci’s theory of cultural hegemony. The analysis was conducted through close reading, deductive thematic coding, and critical discourse interpretation of selected narrative passages, character interactions, and representations of institutional authority. The findings show that power in the novel operates through religious authority, military pressure, patriarchal norms, communal surveillance, legal fear, and ideological consent. Marginalized characters internalize fear through silence, concealment, and self-regulation, yet they also resist through moral defiance, ethical refusal, compassion, memory, and identity reconstruction. The study concludes that The Golden Legend is not merely a narrative of oppression but a literary representation of how language, ideology, and identity become central sites where domination is produced, normalized, contested, and transformed. This study contributes an integrated Foucauldian-Gramscian framework for analyzing discourse, power, and resistance in postcolonial literary texts.
Reclaiming the Humanities in AI-Generated Music: Language, Identity, and Social Media Circulation in Folk and Rock Traditions Mark H. Levine
Language, Technology, and Social Media Vol. 4 No. 2 (2026): June 2026 | Language, Technology, and Social Media
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/ltsm.3026-7196.423

Abstract

Generative artificial intelligence (AI) has transformed music production from a specialist studio practice into a prompt-based, platform-mediated activity in which songs, lyrics, voices, and genre markers can be produced almost instantly. This article repositions the debate about AI music within the intersection of language, technology, and social media by examining folk and rock music as communicative traditions rather than merely sonic products. Using a qualitative critical-hermeneutic design, the study analyzes selected folk, rock, and protest songs together with scholarship on text-to-music generation, platformization, digital authenticity, copyright, and embodied creativity. The analysis shows that AI music is not only a technological issue but also a linguistic and communicative one: prompts translate human intention into machine output, lyrics encode social memory, synthetic voices simulate identity, and streaming/social-media platforms recode authenticity through visibility metrics and algorithmic circulation. Four findings are developed: AI simulates stylistic language without situated experience; folk and rock operate as traditions of memory, resistance, and identity; social media transforms musical authenticity into a platform performance; and ethical AI music requires human-centered design, consent-based training, provenance labeling, and critical digital literacy. The article contributes a human-first framework for studying AI-generated music as a language-technology-social media phenomenon while preserving the humanities dimensions of agency, voice, embodiment, and cultural memory.
Muhadaroh as Pesantren-Based Oral Da'wah Communication: Developing Students' Public Speaking, Religious Language, and Digital Media Readiness Sakira Maulana Amin; Jamilah
Language, Technology, and Social Media Vol. 4 No. 2 (2026): June 2026 | Language, Technology, and Social Media
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/ltsm.3026-7196.481

Abstract

This study examines muhadaroh as pesantren-based oral da'wah communication training for developing students' public speaking, religious language use, and digital media readiness. Although practiced in a face-to-face setting, muhadaroh is relevant to the intersection of language, communication, and digital da'wah because students must construct Islamic messages ethically and contextually for physical and mediated audiences. This qualitative descriptive study with a phenomenological orientation was conducted at Mafatihul Huda Islamic Boarding School, West Tanjung Jabung Barat. Data were gathered through observation, semi-structured interviews with the pesantren head, instructor, and participating students, and documentation, then analyzed through reduction, thematic display, conclusion drawing, and triangulation. Findings show that muhadaroh is implemented through MC practice, Qur'anic recitation, sholawat, berzanji or nadzom, speech delivery, evaluation, and closing prayer. The activity strengthens speech organization, vocal delivery, confidence, audience awareness, Islamic message construction, and communicative identity. Its implementation is supported by mentoring, regulation, and a conducive environment, but constrained by low interest, limited audio facilities, anxiety, and timing. The study contributes a contextual model for linking pesantren oral communication pedagogy with future digital da'wah literacy.

Page 7 of 7 | Total Record : 64

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