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All Journal LingPoet: Journal of Linguistics and Literary Research Sustainable
Fitri Ayu
Universitas Negeri Medan
Humanities Education Languange, Linguistic, Communication & Media

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Constructing Moral Populism Through Narrative and Evaluation: A Linguistic Analysis of Dedi Mulyadi’s Digital Discourse in Indonesia Nazlah Syahaf Nasution; Barli Kifli; Fitri Ayu
Sustainable Vol. 8 No. 1 (2025): Integrating Innovation, Technology, and Management in Education
Publisher : Lembaga Penjaminan Mutu, IAIN Syaikh Abdurrahman Siddik Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32923/3458jv22

Abstract

This study examines how moral populism is linguistically constructed in the social media discourse of Indonesian public figure Dedi Mulyadi. Unlike dominant global models of populism that construct political legitimacy through conflict with elites, Mulyadi’s public persona emerges from empathetic encounters with ordinary citizens documented on YouTube. Rather than proposing policies, he performs ethical responsibility, framing poverty as moral virtue and leadership as personal caregiving. The analysis draws on twenty fully transcribed videos uploaded between January 2023 and January 2024 and applies an integrated linguistic framework combining discursive polarization, narrative, and appraisal theory. The findings show that (1) “the people” are constructed as morally deserving through narratives that romanticize hardship, (2) the leader is positioned as a cultural elder and ethical mediator rather than a political representative, and (3) indirect critiques of governance are articulated through linguistic contrasts between moral action and bureaucratic inaction. Public witnessing in the videos further legitimizes these moral acts, producing co-constructed authority. The study argues that Mulyadi’s discourse represents a non-antagonistic form of moral populism rooted in everyday care, shared cultural responsibility, and linguistic intimacy. These findings expand current scholarship by demonstrating how populist legitimacy in localized Southeast Asian contexts can emerge not through ideological opposition, but through ethical narration and interpersonal moral performance.
AI Translation Tools Applied to Students in Self-Regulated Learning (SRL) Strategies: How Can They Be Effective? Masitowarni Siregar; Barli Kifli; Nazlah Syahaf Nasution; Fitri Ayu; Siti Soraya Lin Abdullah Kamal; Omar Ali Ahmad Al Smadi; Asrita Sari
LingPoet: Journal of Linguistics and Literary Research Vol. 7 No. 3 (2026): LingPoet: Journal of Linguistics and Literary Research (In Press)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/lingpoet.v7i3.25857

Abstract

Artificial Intelligence (AI) translation programs such as Google Translate, DeepL, and ChatGPT are increasingly utilized by students studying English as a Foreign Language (EFL). They offer quick translation, vocabulary support, and writing support that can help in Self-Regulated Learning (SRL). This study investigated the use of AI translation by students in planning, monitoring, and evaluating learning. A qualitative design was adopted with 30 EFL students from a North Sumatran state university. Questionnaires and semi-structured interviews were used to gather data and thematically analyze them. The results suggested that AI tools are commonly applied to read difficult texts, practice vocabulary, and proofread writing. They applied them to all stages of SRL, but with different levels of reflection. The study showed unquestionably benefits in the form of easier access to material, effectiveness, and assurance, but unequivocal risks of overdependence, mistranslation, and reduced critical thinking. It means that AI tools can assist self-directed learning if used judiciously with supervision and clear moral guidelines.
Co-Authors Asrita Sari Barli Kifli Masitowarni Siregar Nazlah Syahaf Nasution Omar Ali Ahmad Al Smadi Siti Soraya Lin Abdullah Kamal